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[FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2021 Zero to Mastery
magnet:?xt=urn:btih:2d17257efea396fb343772694cdb70b1bdbfff04&dn=[FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2021 Zero to Mastery
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2d17257efea396fb343772694cdb70b1bdbfff04
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2021-10-27 04:39
创建日期
2024-7-2 21:42
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FreeCourseSite
com
Udemy
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TensorFlow
Developer
Certificate
in
2021
Zero
to
Mastery
01 Introduction/001 Course Outline.mp4 58.04 MB
02 Deep Learning and TensorFlow Fundamentals/001 What is deep learning_.mp4 34.17 MB
02 Deep Learning and TensorFlow Fundamentals/002 Why use deep learning_.mp4 62.32 MB
02 Deep Learning and TensorFlow Fundamentals/003 What are neural networks_.mp4 63.38 MB
02 Deep Learning and TensorFlow Fundamentals/004 What is deep learning already being used for_.mp4 76.29 MB
02 Deep Learning and TensorFlow Fundamentals/005 What is and why use TensorFlow_.mp4 69.18 MB
02 Deep Learning and TensorFlow Fundamentals/006 What is a Tensor_.mp4 27.55 MB
02 Deep Learning and TensorFlow Fundamentals/007 What we're going to cover throughout the course.mp4 29.38 MB
02 Deep Learning and TensorFlow Fundamentals/008 How to approach this course.mp4 26.12 MB
02 Deep Learning and TensorFlow Fundamentals/010 Creating your first tensors with TensorFlow and tf.constant().mp4 134.73 MB
02 Deep Learning and TensorFlow Fundamentals/011 Creating tensors with TensorFlow and tf.Variable().mp4 70.89 MB
02 Deep Learning and TensorFlow Fundamentals/012 Creating random tensors with TensorFlow.mp4 88.38 MB
02 Deep Learning and TensorFlow Fundamentals/013 Shuffling the order of tensors.mp4 90.01 MB
02 Deep Learning and TensorFlow Fundamentals/014 Creating tensors from NumPy arrays.mp4 101.35 MB
02 Deep Learning and TensorFlow Fundamentals/015 Getting information from your tensors (tensor attributes).mp4 87.48 MB
02 Deep Learning and TensorFlow Fundamentals/016 Indexing and expanding tensors.mp4 86.42 MB
02 Deep Learning and TensorFlow Fundamentals/017 Manipulating tensors with basic operations.mp4 45.03 MB
02 Deep Learning and TensorFlow Fundamentals/018 Matrix multiplication with tensors part 1.mp4 100.89 MB
02 Deep Learning and TensorFlow Fundamentals/019 Matrix multiplication with tensors part 2.mp4 107.78 MB
02 Deep Learning and TensorFlow Fundamentals/020 Matrix multiplication with tensors part 3.mp4 80.63 MB
02 Deep Learning and TensorFlow Fundamentals/021 Changing the datatype of tensors.mp4 71.32 MB
02 Deep Learning and TensorFlow Fundamentals/022 Tensor aggregation (finding the min, max, mean & more).mp4 89.69 MB
02 Deep Learning and TensorFlow Fundamentals/023 Tensor troubleshooting example (updating tensor datatypes).mp4 69.39 MB
02 Deep Learning and TensorFlow Fundamentals/024 Finding the positional minimum and maximum of a tensor (argmin and argmax).mp4 96.41 MB
02 Deep Learning and TensorFlow Fundamentals/025 Squeezing a tensor (removing all 1-dimension axes).mp4 30.14 MB
02 Deep Learning and TensorFlow Fundamentals/026 One-hot encoding tensors.mp4 59.72 MB
02 Deep Learning and TensorFlow Fundamentals/027 Trying out more tensor math operations.mp4 55.77 MB
02 Deep Learning and TensorFlow Fundamentals/028 Exploring TensorFlow and NumPy's compatibility.mp4 43.79 MB
02 Deep Learning and TensorFlow Fundamentals/029 Making sure our tensor operations run really fast on GPUs.mp4 110.92 MB
03 Neural network regression with TensorFlow/001 Introduction to Neural Network Regression with TensorFlow.mp4 60.06 MB
03 Neural network regression with TensorFlow/002 Inputs and outputs of a neural network regression model.mp4 57.54 MB
03 Neural network regression with TensorFlow/003 Anatomy and architecture of a neural network regression model.mp4 58.96 MB
03 Neural network regression with TensorFlow/004 Creating sample regression data (so we can model it).mp4 90 MB
03 Neural network regression with TensorFlow/005 The major steps in modelling with TensorFlow.mp4 181.9 MB
03 Neural network regression with TensorFlow/006 Steps in improving a model with TensorFlow part 1.mp4 45.89 MB
03 Neural network regression with TensorFlow/007 Steps in improving a model with TensorFlow part 2.mp4 90.26 MB
03 Neural network regression with TensorFlow/008 Steps in improving a model with TensorFlow part 3.mp4 132.91 MB
03 Neural network regression with TensorFlow/009 Evaluating a TensorFlow model part 1 (_visualise, visualise, visualise_).mp4 66.96 MB
03 Neural network regression with TensorFlow/010 Evaluating a TensorFlow model part 2 (the three datasets).mp4 81.66 MB
03 Neural network regression with TensorFlow/011 Evaluating a TensorFlow model part 3 (getting a model summary).mp4 192.99 MB
03 Neural network regression with TensorFlow/012 Evaluating a TensorFlow model part 4 (visualising a model's layers).mp4 70.2 MB
03 Neural network regression with TensorFlow/013 Evaluating a TensorFlow model part 5 (visualising a model's predictions).mp4 78.81 MB
03 Neural network regression with TensorFlow/014 Evaluating a TensorFlow model part 6 (common regression evaluation metrics).mp4 70.36 MB
03 Neural network regression with TensorFlow/015 Evaluating a TensorFlow regression model part 7 (mean absolute error).mp4 56.04 MB
03 Neural network regression with TensorFlow/016 Evaluating a TensorFlow regression model part 7 (mean square error).mp4 32.31 MB
03 Neural network regression with TensorFlow/017 Setting up TensorFlow modelling experiments part 1 (start with a simple model).mp4 127.3 MB
03 Neural network regression with TensorFlow/018 Setting up TensorFlow modelling experiments part 2 (increasing complexity).mp4 95.51 MB
03 Neural network regression with TensorFlow/019 Comparing and tracking your TensorFlow modelling experiments.mp4 92.23 MB
03 Neural network regression with TensorFlow/020 How to save a TensorFlow model.mp4 92.18 MB
03 Neural network regression with TensorFlow/021 How to load and use a saved TensorFlow model.mp4 104.35 MB
03 Neural network regression with TensorFlow/022 (Optional) How to save and download files from Google Colab.mp4 67.68 MB
03 Neural network regression with TensorFlow/023 Putting together what we've learned part 1 (preparing a dataset).mp4 143.6 MB
03 Neural network regression with TensorFlow/024 Putting together what we've learned part 2 (building a regression model).mp4 121.1 MB
03 Neural network regression with TensorFlow/025 Putting together what we've learned part 3 (improving our regression model).mp4 154.87 MB
03 Neural network regression with TensorFlow/026 Preprocessing data with feature scaling part 1 (what is feature scaling_).mp4 92.51 MB
03 Neural network regression with TensorFlow/027 Preprocessing data with feature scaling part 2 (normalising our data).mp4 97.1 MB
03 Neural network regression with TensorFlow/028 Preprocessing data with feature scaling part 3 (fitting a model on scaled data).mp4 75.57 MB
04 Neural network classification in TensorFlow/001 Introduction to neural network classification in TensorFlow.mp4 72.76 MB
04 Neural network classification in TensorFlow/002 Example classification problems (and their inputs and outputs).mp4 50.64 MB
04 Neural network classification in TensorFlow/003 Input and output tensors of classification problems.mp4 51.01 MB
04 Neural network classification in TensorFlow/004 Typical architecture of neural network classification models with TensorFlow.mp4 112.64 MB
04 Neural network classification in TensorFlow/005 Creating and viewing classification data to model.mp4 106.12 MB
04 Neural network classification in TensorFlow/006 Checking the input and output shapes of our classification data.mp4 38.07 MB
04 Neural network classification in TensorFlow/007 Building a not very good classification model with TensorFlow.mp4 125.48 MB
04 Neural network classification in TensorFlow/008 Trying to improve our not very good classification model.mp4 84.44 MB
04 Neural network classification in TensorFlow/009 Creating a function to view our model's not so good predictions.mp4 160.62 MB
04 Neural network classification in TensorFlow/010 Make our poor classification model work for a regression dataset.mp4 122.9 MB
04 Neural network classification in TensorFlow/011 Non-linearity part 1_ Straight lines and non-straight lines.mp4 95.72 MB
04 Neural network classification in TensorFlow/012 Non-linearity part 2_ Building our first neural network with non-linearity.mp4 58.96 MB
04 Neural network classification in TensorFlow/013 Non-linearity part 3_ Upgrading our non-linear model with more layers.mp4 123.07 MB
04 Neural network classification in TensorFlow/014 Non-linearity part 4_ Modelling our non-linear data once and for all.mp4 96.56 MB
04 Neural network classification in TensorFlow/015 Non-linearity part 5_ Replicating non-linear activation functions from scratch.mp4 146.29 MB
04 Neural network classification in TensorFlow/016 Getting great results in less time by tweaking the learning rate.mp4 136.85 MB
04 Neural network classification in TensorFlow/017 Using the TensorFlow History object to plot a model's loss curves.mp4 62.06 MB
04 Neural network classification in TensorFlow/018 Using callbacks to find a model's ideal learning rate.mp4 155.68 MB
04 Neural network classification in TensorFlow/019 Training and evaluating a model with an ideal learning rate.mp4 88.86 MB
04 Neural network classification in TensorFlow/020 Introducing more classification evaluation methods.mp4 42.2 MB
04 Neural network classification in TensorFlow/021 Finding the accuracy of our classification model.mp4 34 MB
04 Neural network classification in TensorFlow/022 Creating our first confusion matrix (to see where our model is getting confused).mp4 65.7 MB
04 Neural network classification in TensorFlow/023 Making our confusion matrix prettier.mp4 114.07 MB
04 Neural network classification in TensorFlow/024 Putting things together with multi-class classification part 1_ Getting the data.mp4 87.19 MB
04 Neural network classification in TensorFlow/025 Multi-class classification part 2_ Becoming one with the data.mp4 48.52 MB
04 Neural network classification in TensorFlow/026 Multi-class classification part 3_ Building a multi-class classification model.mp4 142.39 MB
04 Neural network classification in TensorFlow/027 Multi-class classification part 4_ Improving performance with normalisation.mp4 113.34 MB
04 Neural network classification in TensorFlow/028 Multi-class classification part 5_ Comparing normalised and non-normalised data.mp4 26.77 MB
04 Neural network classification in TensorFlow/029 Multi-class classification part 6_ Finding the ideal learning rate.mp4 73.34 MB
04 Neural network classification in TensorFlow/030 Multi-class classification part 7_ Evaluating our model.mp4 119.04 MB
04 Neural network classification in TensorFlow/031 Multi-class classification part 8_ Creating a confusion matrix.mp4 40.49 MB
04 Neural network classification in TensorFlow/032 Multi-class classification part 9_ Visualising random model predictions.mp4 65.58 MB
04 Neural network classification in TensorFlow/033 What _patterns_ is our model learning_.mp4 127.85 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/001 Introduction to Computer Vision with TensorFlow.mp4 75.13 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/002 Introduction to Convolutional Neural Networks (CNNs) with TensorFlow.mp4 76.63 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/003 Downloading an image dataset for our first Food Vision model.mp4 72.98 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/004 Becoming One With Data.mp4 45.61 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/005 Becoming One With Data Part 2.mp4 104.59 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/006 Becoming One With Data Part 3.mp4 39.77 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/007 Building an end to end CNN Model.mp4 155.25 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/008 Using a GPU to run our CNN model 5x faster.mp4 114.96 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/009 Trying a non-CNN model on our image data.mp4 100.57 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/010 Improving our non-CNN model by adding more layers.mp4 106.43 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/011 Breaking our CNN model down part 1_ Becoming one with the data.mp4 90.98 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/012 Breaking our CNN model down part 2_ Preparing to load our data.mp4 109.5 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/013 Breaking our CNN model down part 3_ Loading our data with ImageDataGenerator.mp4 103.57 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/014 Breaking our CNN model down part 4_ Building a baseline CNN model.mp4 85.13 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/015 Breaking our CNN model down part 5_ Looking inside a Conv2D layer.mp4 185.98 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/016 Breaking our CNN model down part 6_ Compiling and fitting our baseline CNN.mp4 77.09 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/017 Breaking our CNN model down part 7_ Evaluating our CNN's training curves.mp4 106.2 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/018 Breaking our CNN model down part 8_ Reducing overfitting with Max Pooling.mp4 130.5 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/019 Breaking our CNN model down part 9_ Reducing overfitting with data augmentation.mp4 66.17 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/020 Breaking our CNN model down part 10_ Visualizing our augmented data.mp4 157.57 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/021 Breaking our CNN model down part 11_ Training a CNN model on augmented data.mp4 94.24 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/022 Breaking our CNN model down part 12_ Discovering the power of shuffling data.mp4 103.71 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/023 Breaking our CNN model down part 13_ Exploring options to improve our model.mp4 50.31 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/024 Downloading a custom image to make predictions on.mp4 53.1 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/025 Writing a helper function to load and preprocessing custom images.mp4 105.11 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/026 Making a prediction on a custom image with our trained CNN.mp4 99.8 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/027 Multi-class CNN's part 1_ Becoming one with the data.mp4 140.18 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/028 Multi-class CNN's part 2_ Preparing our data (turning it into tensors).mp4 72.82 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/029 Multi-class CNN's part 3_ Building a multi-class CNN model.mp4 89.33 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/030 Multi-class CNN's part 4_ Fitting a multi-class CNN model to the data.mp4 59.68 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/031 Multi-class CNN's part 5_ Evaluating our multi-class CNN model.mp4 41.1 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/032 Multi-class CNN's part 6_ Trying to fix overfitting by removing layers.mp4 129.83 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/033 Multi-class CNN's part 7_ Trying to fix overfitting with data augmentation.mp4 121.02 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/034 Multi-class CNN's part 8_ Things you could do to improve your CNN model.mp4 43.31 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/035 Multi-class CNN's part 9_ Making predictions with our model on custom images.mp4 119.07 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/036 Saving and loading our trained CNN model.mp4 69.36 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/001 What is and why use transfer learning_.mp4 65.82 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/002 Downloading and preparing data for our first transfer learning model.mp4 132.67 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/003 Introducing Callbacks in TensorFlow and making a callback to track our models.mp4 94.64 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/004 Exploring the TensorFlow Hub website for pretrained models.mp4 102.9 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/005 Building and compiling a TensorFlow Hub feature extraction model.mp4 135.64 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/006 Blowing our previous models out of the water with transfer learning.mp4 99.68 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/007 Plotting the loss curves of our ResNet feature extraction model.mp4 62.03 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/008 Building and training a pre-trained EfficientNet model on our data.mp4 105.94 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/009 Different Types of Transfer Learning.mp4 110.65 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/010 Comparing Our Model's Results.mp4 144.01 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/001 Introduction to Transfer Learning in TensorFlow Part 2_ Fine-tuning.mp4 61.44 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/002 Importing a script full of helper functions (and saving lots of space).mp4 89.3 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/003 Downloading and turning our images into a TensorFlow BatchDataset.mp4 173.3 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/004 Discussing the four (actually five) modelling experiments we're running.mp4 15.85 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/005 Comparing the TensorFlow Keras Sequential API versus the Functional API.mp4 26.45 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/006 Creating our first model with the TensorFlow Keras Functional API.mp4 132.17 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/007 Compiling and fitting our first Functional API model.mp4 132.78 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/008 Getting a feature vector from our trained model.mp4 147.57 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/009 Drilling into the concept of a feature vector (a learned representation).mp4 51.49 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/010 Downloading and preparing the data for Model 1 (1 percent of training data).mp4 97.66 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/011 Building a data augmentation layer to use inside our model.mp4 117.66 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/012 Visualising what happens when images pass through our data augmentation layer.mp4 119.23 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/013 Building Model 1 (with a data augmentation layer and 1% of training data).mp4 153.03 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/014 Building Model 2 (with a data augmentation layer and 10% of training data).mp4 159.74 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/015 Creating a ModelCheckpoint to save our model's weights during training.mp4 68.9 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/016 Fitting and evaluating Model 2 (and saving its weights using ModelCheckpoint).mp4 68.3 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/017 Loading and comparing saved weights to our existing trained Model 2.mp4 62.53 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/018 Preparing Model 3 (our first fine-tuned model).mp4 198.29 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/019 Fitting and evaluating Model 3 (our first fine-tuned model).mp4 69.17 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/020 Comparing our model's results before and after fine-tuning.mp4 84.12 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/021 Downloading and preparing data for our biggest experiment yet (Model 4).mp4 56.72 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/022 Preparing our final modelling experiment (Model 4).mp4 96.42 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/023 Fine-tuning Model 4 on 100% of the training data and evaluating its results.mp4 96.94 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/024 Comparing our modelling experiment results in TensorBoard.mp4 95.65 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/025 How to view and delete previous TensorBoard experiments.mp4 21.89 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/001 Introduction to Transfer Learning Part 3_ Scaling Up.mp4 41.49 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/002 Getting helper functions ready and downloading data to model.mp4 131.37 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/003 Outlining the model we're going to build and building a ModelCheckpoint callback.mp4 40.63 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/004 Creating a data augmentation layer to use with our model.mp4 40.54 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/005 Creating a headless EfficientNetB0 model with data augmentation built in.mp4 80.37 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/006 Fitting and evaluating our biggest transfer learning model yet.mp4 70.12 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/007 Unfreezing some layers in our base model to prepare for fine-tuning.mp4 100 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/008 Fine-tuning our feature extraction model and evaluating its performance.mp4 66.21 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/009 Saving and loading our trained model.mp4 57.38 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/010 Downloading a pretrained model to make and evaluate predictions with.mp4 78.68 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/011 Making predictions with our trained model on 25,250 test samples.mp4 115.41 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/012 Unravelling our test dataset for comparing ground truth labels to predictions.mp4 43.75 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/013 Confirming our model's predictions are in the same order as the test labels.mp4 50.58 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/014 Creating a confusion matrix for our model's 101 different classes.mp4 156.96 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/015 Evaluating every individual class in our dataset.mp4 131.91 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/016 Plotting our model's F1-scores for each separate class.mp4 77.88 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/017 Creating a function to load and prepare images for making predictions.mp4 109.47 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/018 Making predictions on our test images and evaluating them.mp4 171.65 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/019 Discussing the benefits of finding your model's most wrong predictions.mp4 59.21 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/020 Writing code to uncover our model's most wrong predictions.mp4 109.74 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/021 Plotting and visualising the samples our model got most wrong.mp4 125.49 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/022 Making predictions on and plotting our own custom images.mp4 108.11 MB
09 Milestone Project 1_ Food Vision Big™/001 Introduction to Milestone Project 1_ Food Vision Big™.mp4 42.27 MB
09 Milestone Project 1_ Food Vision Big™/002 Making sure we have access to the right GPU for mixed precision training.mp4 88.15 MB
09 Milestone Project 1_ Food Vision Big™/003 Getting helper functions ready.mp4 31.2 MB
09 Milestone Project 1_ Food Vision Big™/004 Introduction to TensorFlow Datasets (TFDS).mp4 116.85 MB
09 Milestone Project 1_ Food Vision Big™/005 Exploring and becoming one with the data (Food101 from TensorFlow Datasets).mp4 116.67 MB
09 Milestone Project 1_ Food Vision Big™/006 Creating a preprocessing function to prepare our data for modelling.mp4 132.12 MB
09 Milestone Project 1_ Food Vision Big™/007 Batching and preparing our datasets (to make them run fast).mp4 132.16 MB
09 Milestone Project 1_ Food Vision Big™/008 Exploring what happens when we batch and prefetch our data.mp4 63.87 MB
09 Milestone Project 1_ Food Vision Big™/009 Creating modelling callbacks for our feature extraction model.mp4 60.56 MB
09 Milestone Project 1_ Food Vision Big™/011 Turning on mixed precision training with TensorFlow.mp4 107.63 MB
09 Milestone Project 1_ Food Vision Big™/012 Creating a feature extraction model capable of using mixed precision training.mp4 107.93 MB
09 Milestone Project 1_ Food Vision Big™/013 Checking to see if our model is using mixed precision training layer by layer.mp4 87.69 MB
09 Milestone Project 1_ Food Vision Big™/014 Training and evaluating a feature extraction model (Food Vision Big™).mp4 89.16 MB
09 Milestone Project 1_ Food Vision Big™/015 Introducing your Milestone Project 1 challenge_ build a model to beat DeepFood.mp4 89.17 MB
10 NLP Fundamentals in TensorFlow/002 Introduction to Natural Language Processing (NLP) and Sequence Problems.mp4 124.04 MB
10 NLP Fundamentals in TensorFlow/003 Example NLP inputs and outputs.mp4 64.29 MB
10 NLP Fundamentals in TensorFlow/004 The typical architecture of a Recurrent Neural Network (RNN).mp4 107.22 MB
10 NLP Fundamentals in TensorFlow/005 Preparing a notebook for our first NLP with TensorFlow project.mp4 82.45 MB
10 NLP Fundamentals in TensorFlow/006 Becoming one with the data and visualising a text dataset.mp4 160.37 MB
10 NLP Fundamentals in TensorFlow/007 Splitting data into training and validation sets.mp4 59.92 MB
10 NLP Fundamentals in TensorFlow/008 Converting text data to numbers using tokenisation and embeddings (overview).mp4 82.08 MB
10 NLP Fundamentals in TensorFlow/009 Setting up a TensorFlow TextVectorization layer to convert text to numbers.mp4 200.08 MB
10 NLP Fundamentals in TensorFlow/010 Mapping the TextVectorization layer to text data and turning it into numbers.mp4 97.91 MB
10 NLP Fundamentals in TensorFlow/011 Creating an Embedding layer to turn tokenised text into embedding vectors.mp4 135.51 MB
10 NLP Fundamentals in TensorFlow/012 Discussing the various modelling experiments we're going to run.mp4 87.68 MB
10 NLP Fundamentals in TensorFlow/013 Model 0_ Building a baseline model to try and improve upon.mp4 93.22 MB
10 NLP Fundamentals in TensorFlow/014 Creating a function to track and evaluate our model's results.mp4 148.75 MB
10 NLP Fundamentals in TensorFlow/015 Model 1_ Building, fitting and evaluating our first deep model on text data.mp4 207.79 MB
10 NLP Fundamentals in TensorFlow/016 Visualising our model's learned word embeddings with TensorFlow's projector tool.mp4 283.12 MB
10 NLP Fundamentals in TensorFlow/017 High-level overview of Recurrent Neural Networks (RNNs) + where to learn more.mp4 96.53 MB
10 NLP Fundamentals in TensorFlow/018 Model 2_ Building, fitting and evaluating our first TensorFlow RNN model (LSTM).mp4 165.86 MB
10 NLP Fundamentals in TensorFlow/019 Model 3_ Building, fitting and evaluating a GRU-cell powered RNN.mp4 168.14 MB
10 NLP Fundamentals in TensorFlow/020 Model 4_ Building, fitting and evaluating a bidirectional RNN model.mp4 167.17 MB
10 NLP Fundamentals in TensorFlow/021 Discussing the intuition behind Conv1D neural networks for text and sequences.mp4 184.34 MB
10 NLP Fundamentals in TensorFlow/022 Model 5_ Building, fitting and evaluating a 1D CNN for text.mp4 77.77 MB
10 NLP Fundamentals in TensorFlow/023 Using TensorFlow Hub for pretrained word embeddings (transfer learning for NLP).mp4 138.12 MB
10 NLP Fundamentals in TensorFlow/024 Model 6_ Building, training and evaluating a transfer learning model for NLP.mp4 99.2 MB
10 NLP Fundamentals in TensorFlow/025 Preparing subsets of data for model 7 (same as model 6 but 10% of data).mp4 91.56 MB
10 NLP Fundamentals in TensorFlow/026 Model 7_ Building, training and evaluating a transfer learning model on 10% data.mp4 100.92 MB
10 NLP Fundamentals in TensorFlow/027 Fixing our data leakage issue with model 7 and retraining it.mp4 165.89 MB
10 NLP Fundamentals in TensorFlow/028 Comparing all our modelling experiments evaluation metrics.mp4 115.91 MB
10 NLP Fundamentals in TensorFlow/029 Uploading our model's training logs to TensorBoard and comparing them.mp4 109.2 MB
10 NLP Fundamentals in TensorFlow/030 Saving and loading in a trained NLP model with TensorFlow.mp4 104.82 MB
10 NLP Fundamentals in TensorFlow/031 Downloading a pretrained model and preparing data to investigate predictions.mp4 131.09 MB
10 NLP Fundamentals in TensorFlow/032 Visualising our model's most wrong predictions.mp4 77.04 MB
10 NLP Fundamentals in TensorFlow/033 Making and visualising predictions on the test dataset.mp4 76.66 MB
10 NLP Fundamentals in TensorFlow/034 Understanding the concept of the speed_score tradeoff.mp4 130.52 MB
11 Milestone Project 2_ SkimLit/001 Introduction to Milestone Project 2_ SkimLit.mp4 148.47 MB
11 Milestone Project 2_ SkimLit/002 What we're going to cover in Milestone Project 2 (NLP for medical abstracts).mp4 71.04 MB
11 Milestone Project 2_ SkimLit/003 SkimLit inputs and outputs.mp4 76.76 MB
11 Milestone Project 2_ SkimLit/004 Setting up our notebook for Milestone Project 2 (getting the data).mp4 146.21 MB
11 Milestone Project 2_ SkimLit/005 Visualising examples from the dataset (becoming one with the data).mp4 132.57 MB
11 Milestone Project 2_ SkimLit/006 Writing a preprocessing function to structure our data for modelling.mp4 217.99 MB
11 Milestone Project 2_ SkimLit/007 Performing visual data analysis on our preprocessed text.mp4 74.35 MB
11 Milestone Project 2_ SkimLit/008 Turning our target labels into numbers (ML models require numbers).mp4 117.35 MB
11 Milestone Project 2_ SkimLit/009 Model 0_ Creating, fitting and evaluating a baseline model for SkimLit.mp4 81.5 MB
11 Milestone Project 2_ SkimLit/010 Preparing our data for deep sequence models.mp4 85.2 MB
11 Milestone Project 2_ SkimLit/011 Creating a text vectoriser to map our tokens (text) to numbers.mp4 129.9 MB
11 Milestone Project 2_ SkimLit/012 Creating a custom token embedding layer with TensorFlow.mp4 99.65 MB
11 Milestone Project 2_ SkimLit/013 Creating fast loading dataset with the TensorFlow tf.data API.mp4 90.71 MB
11 Milestone Project 2_ SkimLit/014 Model 1_ Building, fitting and evaluating a Conv1D with token embeddings.mp4 168.35 MB
11 Milestone Project 2_ SkimLit/015 Preparing a pretrained embedding layer from TensorFlow Hub for Model 2.mp4 124.66 MB
11 Milestone Project 2_ SkimLit/016 Model 2_ Building, fitting and evaluating a Conv1D model with token embeddings.mp4 106.75 MB
11 Milestone Project 2_ SkimLit/017 Creating a character-level tokeniser with TensorFlow's TextVectorization layer.mp4 197.33 MB
11 Milestone Project 2_ SkimLit/018 Creating a character-level embedding layer with tf.keras.layers.Embedding.mp4 77.56 MB
11 Milestone Project 2_ SkimLit/019 Model 3_ Building, fitting and evaluating a Conv1D model on character embeddings.mp4 131.1 MB
11 Milestone Project 2_ SkimLit/020 Discussing how we're going to build Model 4 (character + token embeddings).mp4 60.3 MB
11 Milestone Project 2_ SkimLit/021 Model 4_ Building a multi-input model (hybrid token + character embeddings).mp4 181.61 MB
11 Milestone Project 2_ SkimLit/022 Model 4_ Plotting and visually exploring different data inputs.mp4 86.67 MB
11 Milestone Project 2_ SkimLit/023 Crafting multi-input fast loading tf.data datasets for Model 4.mp4 83.82 MB
11 Milestone Project 2_ SkimLit/024 Model 4_ Building, fitting and evaluating a hybrid embedding model.mp4 139 MB
11 Milestone Project 2_ SkimLit/025 Model 5_ Adding positional embeddings via feature engineering (overview).mp4 66.18 MB
11 Milestone Project 2_ SkimLit/026 Encoding the line number feature to used with Model 5.mp4 112.93 MB
11 Milestone Project 2_ SkimLit/027 Encoding the total lines feature to be used with Model 5.mp4 64.34 MB
11 Milestone Project 2_ SkimLit/028 Model 5_ Building the foundations of a tribrid embedding model.mp4 81.79 MB
11 Milestone Project 2_ SkimLit/029 Model 5_ Completing the build of a tribrid embedding model for sequences.mp4 152.92 MB
11 Milestone Project 2_ SkimLit/030 Visually inspecting the architecture of our tribrid embedding model.mp4 107.86 MB
11 Milestone Project 2_ SkimLit/031 Creating multi-level data input pipelines for Model 5 with the tf.data API.mp4 99.34 MB
11 Milestone Project 2_ SkimLit/032 Bringing SkimLit to life!!! (fitting and evaluating Model 5).mp4 115.62 MB
11 Milestone Project 2_ SkimLit/033 Comparing the performance of all of our modelling experiments.mp4 77.89 MB
11 Milestone Project 2_ SkimLit/034 Saving, loading & testing our best performing model.mp4 83.51 MB
11 Milestone Project 2_ SkimLit/035 Congratulations and your challenge before heading to the next module.mp4 135.78 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/002 Introduction to Milestone Project 3 (BitPredict) & where you can get help.mp4 36.36 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/003 What is a time series problem and example forecasting problems at Uber.mp4 65.11 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/004 Example forecasting problems in daily life.mp4 27.8 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/005 What can be forecast_.mp4 77.87 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/006 What we're going to cover (broadly).mp4 25.61 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/007 Time series forecasting inputs and outputs.mp4 61.95 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/008 Downloading and inspecting our Bitcoin historical dataset.mp4 148.81 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/009 Different kinds of time series patterns & different amounts of feature variables.mp4 68.12 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/010 Visualizing our Bitcoin historical data with pandas.mp4 41.84 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/011 Reading in our Bitcoin data with Python's CSV module.mp4 102.67 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/012 Creating train and test splits for time series (the wrong way).mp4 63.59 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/013 Creating train and test splits for time series (the right way).mp4 48.66 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/014 Creating a plotting function to visualize our time series data.mp4 68.17 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/015 Discussing the various modelling experiments were going to be running.mp4 78.21 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/016 Model 0_ Making and visualizing a naive forecast model.mp4 114.28 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/017 Discussing some of the most common time series evaluation metrics.mp4 98.85 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/018 Implementing MASE with TensorFlow.mp4 102.03 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/019 Creating a function to evaluate our model's forecasts with various metrics.mp4 92.24 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/020 Discussing other non-TensorFlow kinds of time series forecasting models.mp4 59.39 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/021 Formatting data Part 2_ Creating a function to label our windowed time series.mp4 109.23 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/022 Discussing the use of windows and horizons in time series data.mp4 70.16 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/023 Writing a preprocessing function to turn time series data into windows & labels.mp4 250.43 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/024 Turning our windowed time series data into training and test sets.mp4 90.56 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/025 Creating a modelling checkpoint callback to save our best performing model.mp4 64.88 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/026 Model 1_ Building, compiling and fitting a deep learning model on Bitcoin data.mp4 167.32 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/027 Creating a function to make predictions with our trained models.mp4 122.06 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/028 Model 2_ Building, fitting and evaluating a deep model with a larger window size.mp4 153.87 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/029 Model 3_ Building, fitting and evaluating a model with a larger horizon size.mp4 122.66 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/030 Adjusting the evaluation function to work for predictions with larger horizons.mp4 89.25 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/031 Model 3_ Visualizing the results.mp4 86.71 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/032 Comparing our modelling experiments so far and discussing autocorrelation.mp4 92.91 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/033 Preparing data for building a Conv1D model.mp4 112.61 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/034 Model 4_ Building, fitting and evaluating a Conv1D model on our Bitcoin data.mp4 144.63 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/035 Model 5_ Building, fitting and evaluating a LSTM (RNN) model on our Bitcoin data.mp4 165.99 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/036 Investigating how to turn our univariate time series into multivariate.mp4 120.69 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/037 Creating and plotting a multivariate time series with BTC price and block reward.mp4 111.58 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/038 Preparing our multivariate time series for a model.mp4 117.31 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/039 Model 6_ Building, fitting and evaluating a multivariate time series model.mp4 81.62 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/040 Model 7_ Discussing what we're going to be doing with the N-BEATS algorithm.mp4 104.17 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/041 Model 7_ Replicating the N-BEATS basic block with TensorFlow layer subclassing.mp4 216.3 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/042 Model 7_ Testing our N-BEATS block implementation with dummy data inputs.mp4 182.99 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/043 Model 7_ Creating a performant data pipeline for the N-BEATS model with tf.data.mp4 122.49 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/044 Model 7_ Setting up hyperparameters for the N-BEATS algorithm.mp4 100.21 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/045 Model 7_ Getting ready for residual connections.mp4 148.25 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/046 Model 7_ Outlining the steps we're going to take to build the N-BEATS model.mp4 107.52 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/047 Model 7_ Putting together the pieces of the puzzle of the N-BEATS model.mp4 237.41 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/048 Model 7_ Plotting the N-BEATS algorithm we've created and admiring its beauty.mp4 74.06 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/049 Model 8_ Ensemble model overview.mp4 43.5 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/050 Model 8_ Building, compiling and fitting an ensemble of models.mp4 180.06 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/051 Model 8_ Making and evaluating predictions with our ensemble model.mp4 182.18 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/052 Discussing the importance of prediction intervals in forecasting.mp4 114.95 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/053 Getting the upper and lower bounds of our prediction intervals.mp4 81.54 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/054 Plotting the prediction intervals of our ensemble model predictions.mp4 117.45 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/055 (Optional) Discussing the types of uncertainty in machine learning.mp4 116.05 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/056 Model 9_ Preparing data to create a model capable of predicting into the future.mp4 75.29 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/057 Model 9_ Building, compiling and fitting a future predictions model.mp4 47.66 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/058 Model 9_ Discussing what's required for our model to make future predictions.mp4 64.15 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/059 Model 9_ Creating a function to make forecasts into the future.mp4 119.52 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/060 Model 9_ Plotting our model's future forecasts.mp4 106.21 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/061 Model 10_ Introducing the turkey problem and making data for it.mp4 108.19 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/062 Model 10_ Building a model to predict on turkey data (why forecasting is BS).mp4 111.56 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/063 Comparing the results of all of our models and discussing where to go next.mp4 109.49 MB
13 Passing the TensorFlow Developer Certificate Exam/002 What is the TensorFlow Developer Certification_.mp4 54.85 MB
13 Passing the TensorFlow Developer Certificate Exam/003 Why the TensorFlow Developer Certification_.mp4 51.54 MB
13 Passing the TensorFlow Developer Certificate Exam/004 How to prepare (your brain) for the TensorFlow Developer Certification.mp4 98.2 MB
13 Passing the TensorFlow Developer Certificate Exam/005 How to prepare (your computer) for the TensorFlow Developer Certification.mp4 140.42 MB
13 Passing the TensorFlow Developer Certificate Exam/006 What to do after the TensorFlow Developer Certification exam.mp4 17.03 MB
15 Appendix_ Machine Learning Primer/002 What is Machine Learning_.mp4 28.3 MB
15 Appendix_ Machine Learning Primer/003 AI_Machine Learning_Data Science.mp4 19.65 MB
15 Appendix_ Machine Learning Primer/004 Exercise_ Machine Learning Playground.mp4 42.55 MB
15 Appendix_ Machine Learning Primer/005 How Did We Get Here_.mp4 30.5 MB
15 Appendix_ Machine Learning Primer/006 Exercise_ YouTube Recommendation Engine.mp4 19.44 MB
15 Appendix_ Machine Learning Primer/007 Types of Machine Learning.mp4 22.78 MB
15 Appendix_ Machine Learning Primer/009 What Is Machine Learning_ Round 2.mp4 25.47 MB
15 Appendix_ Machine Learning Primer/010 Section Review.mp4 5.56 MB
16 Appendix_ Machine Learning and Data Science Framework/002 Section Overview.mp4 13.29 MB
16 Appendix_ Machine Learning and Data Science Framework/003 Introducing Our Framework.mp4 11.37 MB
16 Appendix_ Machine Learning and Data Science Framework/004 6 Step Machine Learning Framework.mp4 23.44 MB
16 Appendix_ Machine Learning and Data Science Framework/005 Types of Machine Learning Problems.mp4 60.45 MB
16 Appendix_ Machine Learning and Data Science Framework/006 Types of Data.mp4 29.28 MB
16 Appendix_ Machine Learning and Data Science Framework/007 Types of Evaluation.mp4 17.73 MB
16 Appendix_ Machine Learning and Data Science Framework/008 Features In Data.mp4 36.75 MB
16 Appendix_ Machine Learning and Data Science Framework/009 Modelling - Splitting Data.mp4 27.51 MB
16 Appendix_ Machine Learning and Data Science Framework/010 Modelling - Picking the Model.mp4 23.25 MB
16 Appendix_ Machine Learning and Data Science Framework/011 Modelling - Tuning.mp4 15.98 MB
16 Appendix_ Machine Learning and Data Science Framework/012 Modelling - Comparison.mp4 44.83 MB
16 Appendix_ Machine Learning and Data Science Framework/014 Experimentation.mp4 21.33 MB
16 Appendix_ Machine Learning and Data Science Framework/015 Tools We Will Use.mp4 27.33 MB
17 Appendix_ Pandas for Data Analysis/002 Section Overview.mp4 10.87 MB
17 Appendix_ Pandas for Data Analysis/004 Pandas Introduction.mp4 27.43 MB
17 Appendix_ Pandas for Data Analysis/005 Series, Data Frames and CSVs.mp4 95.35 MB
17 Appendix_ Pandas for Data Analysis/007 Describing Data with Pandas.mp4 75.61 MB
17 Appendix_ Pandas for Data Analysis/008 Selecting and Viewing Data with Pandas.mp4 72.28 MB
17 Appendix_ Pandas for Data Analysis/009 Selecting and Viewing Data with Pandas Part 2.mp4 106.42 MB
17 Appendix_ Pandas for Data Analysis/010 Manipulating Data.mp4 104.94 MB
17 Appendix_ Pandas for Data Analysis/011 Manipulating Data 2.mp4 86.29 MB
17 Appendix_ Pandas for Data Analysis/012 Manipulating Data 3.mp4 91.12 MB
17 Appendix_ Pandas for Data Analysis/014 How To Download The Course Assignments.mp4 66.68 MB
18 Appendix_ NumPy/002 Section Overview.mp4 13.34 MB
18 Appendix_ NumPy/003 NumPy Introduction.mp4 26.86 MB
18 Appendix_ NumPy/005 NumPy DataTypes and Attributes.mp4 78.83 MB
18 Appendix_ NumPy/006 Creating NumPy Arrays.mp4 66.82 MB
18 Appendix_ NumPy/007 NumPy Random Seed.mp4 51.97 MB
18 Appendix_ NumPy/008 Viewing Arrays and Matrices.mp4 70.59 MB
18 Appendix_ NumPy/009 Manipulating Arrays.mp4 80.54 MB
18 Appendix_ NumPy/010 Manipulating Arrays 2.mp4 67.85 MB
18 Appendix_ NumPy/011 Standard Deviation and Variance.mp4 51.16 MB
18 Appendix_ NumPy/012 Reshape and Transpose.mp4 53.52 MB
18 Appendix_ NumPy/013 Dot Product vs Element Wise.mp4 83.78 MB
18 Appendix_ NumPy/014 Exercise_ Nut Butter Store Sales.mp4 91.26 MB
18 Appendix_ NumPy/015 Comparison Operators.mp4 26.36 MB
18 Appendix_ NumPy/016 Sorting Arrays.mp4 32.8 MB
18 Appendix_ NumPy/017 Turn Images Into NumPy Arrays.mp4 85.89 MB
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