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[FreeTutorials.Us] Udemy - data-science-and-machine-learning-with-python-hands-on
magnet:?xt=urn:btih:7f9664b44449628c52f0309304d24e68a484154c&dn=[FreeTutorials.Us] Udemy - data-science-and-machine-learning-with-python-hands-on
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7f9664b44449628c52f0309304d24e68a484154c
infohash:
87
文件数量
3.07 GB
文件大小
2019-5-22 08:50
创建日期
2024-7-13 20:43
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FreeTutorials
Us
Udemy
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data-science-and-machine-learning-with-python-hands-on
01 Getting Started/001 Introduction.mp4 27.73 MB
01 Getting Started/002 [Activity] Getting What You Need.mp4 9.52 MB
01 Getting Started/003 [Activity] Installing Enthought Canopy.mp4 40.51 MB
01 Getting Started/004 Python Basics_ Part 1.mp4 43.97 MB
01 Getting Started/005 [Activity] Python Basics_ Part 2.mp4 28.46 MB
01 Getting Started/006 Running Python Scripts.mp4 21.57 MB
01 Getting Started/007 Introducing the Pandas Library.mp4 43.34 MB
02 Statistics and Probability Refresher_ and Python Practise/008 Types of Data.mp4 34.11 MB
02 Statistics and Probability Refresher_ and Python Practise/009 Mean_ Median_ Mode.mp4 28.17 MB
02 Statistics and Probability Refresher_ and Python Practise/010 [Activity] Using mean_ median_ and mode in Python.mp4 38.99 MB
02 Statistics and Probability Refresher_ and Python Practise/011 [Activity] Variation and Standard Deviation.mp4 45.62 MB
02 Statistics and Probability Refresher_ and Python Practise/012 Probability Density Function; Probability Mass Function.mp4 12.35 MB
02 Statistics and Probability Refresher_ and Python Practise/013 Common Data Distributions.mp4 27.67 MB
02 Statistics and Probability Refresher_ and Python Practise/014 [Activity] Percentiles and Moments.mp4 42.98 MB
02 Statistics and Probability Refresher_ and Python Practise/015 [Activity] A Crash Course in matplotlib.mp4 49.28 MB
02 Statistics and Probability Refresher_ and Python Practise/016 [Activity] Covariance and Correlation.mp4 49.78 MB
02 Statistics and Probability Refresher_ and Python Practise/017 [Exercise] Conditional Probability.mp4 49.55 MB
02 Statistics and Probability Refresher_ and Python Practise/018 Exercise Solution_ Conditional Probability of Purchase by Age.mp4 14.09 MB
02 Statistics and Probability Refresher_ and Python Practise/019 Bayes' Theorem.mp4 30.13 MB
03 Predictive Models/020 [Activity] Linear Regression.mp4 32.97 MB
03 Predictive Models/021 [Activity] Polynomial Regression.mp4 29.78 MB
03 Predictive Models/022 [Activity] Multivariate Regression_ and Predicting Car Prices.mp4 49.97 MB
03 Predictive Models/023 Multi-Level Models.mp4 23.66 MB
04 Machine Learning with Python/024 Supervised vs_ Unsupervised Learning_ and Train_Test.mp4 47.8 MB
04 Machine Learning with Python/025 [Activity] Using Train_Test to Prevent Overfitting a Polynomial Regression.mp4 22.02 MB
04 Machine Learning with Python/026 Bayesian Methods_ Concepts.mp4 19.41 MB
04 Machine Learning with Python/027 [Activity] Implementing a Spam Classifier with Naive Bayes.mp4 36.48 MB
04 Machine Learning with Python/028 K-Means Clustering.mp4 30.3 MB
04 Machine Learning with Python/029 [Activity] Clustering people based on income and age.mp4 23.98 MB
04 Machine Learning with Python/030 Measuring Entropy.mp4 17.48 MB
04 Machine Learning with Python/032 Decision Trees_ Concepts.mp4 39.72 MB
04 Machine Learning with Python/033 [Activity] Decision Trees_ Predicting Hiring Decisions.mp4 38.23 MB
04 Machine Learning with Python/034 Ensemble Learning.mp4 33.7 MB
04 Machine Learning with Python/035 Support Vector Machines (SVM) Overview.mp4 21.77 MB
04 Machine Learning with Python/036 [Activity] Using SVM to cluster people using scikit-learn.mp4 20.84 MB
05 Recommender Systems/037 User-Based Collaborative Filtering.mp4 36.81 MB
05 Recommender Systems/038 Item-Based Collaborative Filtering.mp4 33.56 MB
05 Recommender Systems/039 [Activity] Finding Movie Similarities.mp4 48.48 MB
05 Recommender Systems/040 [Activity] Improving the Results of Movie Similarities.mp4 43.98 MB
05 Recommender Systems/041 [Activity] Making Movie Recommendations to People.mp4 63.25 MB
05 Recommender Systems/042 [Exercise] Improve the recommender's results.mp4 45.85 MB
06 More Data Mining and Machine Learning Techniques/043 K-Nearest-Neighbors_ Concepts.mp4 19.9 MB
06 More Data Mining and Machine Learning Techniques/044 [Activity] Using KNN to predict a rating for a movie.mp4 59.21 MB
06 More Data Mining and Machine Learning Techniques/045 Dimensionality Reduction; Principal Component Analysis.mp4 35.67 MB
06 More Data Mining and Machine Learning Techniques/046 [Activity] PCA Example with the Iris data set.mp4 53.31 MB
06 More Data Mining and Machine Learning Techniques/047 Data Warehousing Overview_ ETL and ELT.mp4 54.11 MB
06 More Data Mining and Machine Learning Techniques/048 Reinforcement Learning.mp4 63.56 MB
07 Dealing with Real-World Data/049 Bias_Variance Tradeoff.mp4 31.23 MB
07 Dealing with Real-World Data/050 [Activity] K-Fold Cross-Validation to avoid overfitting.mp4 45.87 MB
07 Dealing with Real-World Data/051 Data Cleaning and Normalization.mp4 31.9 MB
07 Dealing with Real-World Data/052 [Activity] Cleaning web log data.mp4 60.16 MB
07 Dealing with Real-World Data/053 Normalizing numerical data.mp4 19.02 MB
07 Dealing with Real-World Data/054 [Activity] Detecting outliers.mp4 39.04 MB
08 Apache Spark_ Machine Learning on Big Data/056 [Activity] Installing Spark - Part 1.mp4 44.24 MB
08 Apache Spark_ Machine Learning on Big Data/057 [Activity] Installing Spark - Part 2.mp4 85.81 MB
08 Apache Spark_ Machine Learning on Big Data/058 Spark Introduction.mp4 32.46 MB
08 Apache Spark_ Machine Learning on Big Data/059 Spark and the Resilient Distributed Dataset (RDD).mp4 36.41 MB
08 Apache Spark_ Machine Learning on Big Data/060 Introducing MLLib.mp4 26.27 MB
08 Apache Spark_ Machine Learning on Big Data/061 [Activity] Decision Trees in Spark.mp4 88.24 MB
08 Apache Spark_ Machine Learning on Big Data/062 [Activity] K-Means Clustering in Spark.mp4 62.85 MB
08 Apache Spark_ Machine Learning on Big Data/063 TF _ IDF.mp4 32.2 MB
08 Apache Spark_ Machine Learning on Big Data/064 [Activity] Searching Wikipedia with Spark.mp4 59.76 MB
08 Apache Spark_ Machine Learning on Big Data/065 [Activity] Using the Spark 2_0 DataFrame API for MLLib.mp4 30.53 MB
09 Experimental Design/066 A_B Testing Concepts.mp4 42.69 MB
09 Experimental Design/067 T-Tests and P-Values.mp4 30.11 MB
09 Experimental Design/068 [Activity] Hands-on With T-Tests.mp4 40.06 MB
09 Experimental Design/069 Determining How Long to Run an Experiment.mp4 16.68 MB
09 Experimental Design/070 A_B Test Gotchas.mp4 43.78 MB
10 Deep Learning and Neural Networks/071 Deep Learning Pre-Requisites.mp4 30.43 MB
10 Deep Learning and Neural Networks/072 The History of Artificial Neural Networks.mp4 22.45 MB
10 Deep Learning and Neural Networks/073 [Activity] Deep Learning in the Tensorflow Playground.mp4 49.01 MB
10 Deep Learning and Neural Networks/074 Deep Learning Details.mp4 18.17 MB
10 Deep Learning and Neural Networks/075 Introducing Tensorflow.mp4 25.44 MB
10 Deep Learning and Neural Networks/076 [Activity] Using Tensorflow_ Part 1.mp4 28.35 MB
10 Deep Learning and Neural Networks/077 [Activity] Using Tensorflow_ Part 2.mp4 34.22 MB
10 Deep Learning and Neural Networks/078 [Activity] Introducing Keras.mp4 33.83 MB
10 Deep Learning and Neural Networks/079 [Activity] Using Keras to Predict Political Affiliations.mp4 27.3 MB
10 Deep Learning and Neural Networks/080 Convolutional Neural Networks (CNN's).mp4 23.99 MB
10 Deep Learning and Neural Networks/081 [Activity] Using CNN's for handwriting recognition.mp4 22.43 MB
10 Deep Learning and Neural Networks/082 Recurrent Neural Networks (RNN's).mp4 21.56 MB
10 Deep Learning and Neural Networks/083 [Activity] Using a RNN for sentiment analysis.mp4 27.71 MB
10 Deep Learning and Neural Networks/084 The Ethics of Deep Learning.mp4 53.66 MB
10 Deep Learning and Neural Networks/085 Learning More about Deep Learning.mp4 26.18 MB
11 Final Project/086 Your final project assignment.mp4 19.61 MB
11 Final Project/087 Final project review.mp4 28.03 MB
12 You made it!/088 More to Explore.mp4 45.14 MB
12 You made it!/090 Bonus Lecture_ Discounts on my Spark and MapReduce courses!.mp4 24.32 MB
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