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[GigaCourse.Com] Udemy - Neural Networks in Python Deep Learning for Beginners
magnet:?xt=urn:btih:80aa6af974e64390ea56891569dc41b0a7f127dd&dn=[GigaCourse.Com] Udemy - Neural Networks in Python Deep Learning for Beginners
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文件列表详情
80aa6af974e64390ea56891569dc41b0a7f127dd
infohash:
63
文件数量
3.02 GB
文件大小
2023-1-31 23:27
创建日期
2024-6-26 02:21
最后访问
相关分词
GigaCourse
Com
Udemy
-
Neural
Networks
in
Python
Deep
Learning
for
Beginners
1. Introduction/1. Welcome to the course.mp4 21.42 MB
1. Introduction/2. Introduction to Neural Networks and Course flow.mp4 29.07 MB
1. Introduction/4. This is a milestone!.mp4 20.68 MB
10. Python - Building and training the Model/1. Different ways to create ANN using Keras.mp4 10.8 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 79.14 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 81.71 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 69.92 MB
11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 155.87 MB
12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 92.12 MB
13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 151.58 MB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 60.63 MB
15. Add-on 1 Data Preprocessing/1. Gathering Business Knowledge.mp4 22.28 MB
15. Add-on 1 Data Preprocessing/10. Missing Value Imputation.mp4 25.01 MB
15. Add-on 1 Data Preprocessing/11. Missing Value Imputation in Python.mp4 23.42 MB
15. Add-on 1 Data Preprocessing/12. Seasonality in Data.mp4 17.02 MB
15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.mp4 100.42 MB
15. Add-on 1 Data Preprocessing/14. Variable transformation and deletion in Python.mp4 44.08 MB
15. Add-on 1 Data Preprocessing/15. Non-usable variables.mp4 20.24 MB
15. Add-on 1 Data Preprocessing/16. Dummy variable creation Handling qualitative data.mp4 36.83 MB
15. Add-on 1 Data Preprocessing/17. Dummy variable creation in Python.mp4 26.53 MB
15. Add-on 1 Data Preprocessing/18. Correlation Analysis.mp4 71.59 MB
15. Add-on 1 Data Preprocessing/19. Correlation Analysis in Python.mp4 55.31 MB
15. Add-on 1 Data Preprocessing/2. Data Exploration.mp4 20.51 MB
15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 69.38 MB
15. Add-on 1 Data Preprocessing/5. Importing Data in Python.mp4 27.83 MB
15. Add-on 1 Data Preprocessing/6. Univariate analysis and EDD.mp4 24.19 MB
15. Add-on 1 Data Preprocessing/7. EDD in Python.mp4 61.78 MB
15. Add-on 1 Data Preprocessing/8. Outlier Treatment.mp4 24.48 MB
15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.mp4 70.23 MB
16. Add-on 2 Classic ML models - Linear Regression/1. The Problem Statement.mp4 9.38 MB
16. Add-on 2 Classic ML models - Linear Regression/10. Test-train split.mp4 41.87 MB
16. Add-on 2 Classic ML models - Linear Regression/11. Bias Variance trade-off.mp4 25.1 MB
16. Add-on 2 Classic ML models - Linear Regression/12. Test train split in Python.mp4 44.86 MB
16. Add-on 2 Classic ML models - Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4 43.35 MB
16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 92.14 MB
16. Add-on 2 Classic ML models - Linear Regression/4. Assessing Model Accuracy RSE and R squared.mp4 43.63 MB
16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 63.43 MB
16. Add-on 2 Classic ML models - Linear Regression/6. Multiple Linear Regression.mp4 34.32 MB
16. Add-on 2 Classic ML models - Linear Regression/7. The F - statistic.mp4 56.01 MB
16. Add-on 2 Classic ML models - Linear Regression/8. Interpreting results of Categorical variables.mp4 22.5 MB
16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 69.74 MB
18. Bonus Section/1. The final milestone!.mp4 11.83 MB
2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4 16.26 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 65.17 MB
2. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp4 40.92 MB
2. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.mp4 12.75 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 64.43 MB
2. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 60.32 MB
2. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4 43.87 MB
2. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp4 46.89 MB
2. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp4 40.35 MB
3. Single Cells - Perceptron and Sigmoid Neuron/1. Perceptron.mp4 44.76 MB
3. Single Cells - Perceptron and Sigmoid Neuron/2. Activation Functions.mp4 34.61 MB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 86.59 MB
4. Neural Networks - Stacking cells to create network/1. Basic Terminologies.mp4 40.42 MB
4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4 60.32 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 122.2 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 62.17 MB
6. Standard Model Parameters/1. Hyperparameters.mp4 45.35 MB
8. Tensorflow and Keras/1. Keras and Tensorflow.mp4 14.93 MB
8. Tensorflow and Keras/2. Installing Tensorflow and Keras.mp4 20.07 MB
9. Python - Dataset for classification problem/1. Dataset for classification.mp4 56.12 MB
9. Python - Dataset for classification problem/2. Normalization and Test-Train split.mp4 44.19 MB
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