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【影视】 [FreeCourseLab.com] Udemy - Machine Learning, Data Science and Deep Learning with Python

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8. Apache Spark Machine Learning on Big Data/8. [Activity] Decision Trees in Spark.mp4 202.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 180.7 MB
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1. Getting Started/5. Python Basics, Part 1 [Optional].mp4 140.3 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 140.3 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 2.mp4 140.1 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
2. Statistics and Probability Refresher, and Python Practise/10. [Exercise] Conditional Probability.mp4 136.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practise/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/14. The Ethics of Deep Learning.mp4 134.5 MB
1. Getting Started/8. Introducing the Pandas Library [Optional].mp4 134.1 MB
3. Predictive Models/3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4 129.8 MB
2. Statistics and Probability Refresher, and Python Practise/9. [Activity] Covariance and Correlation.mp4 122.4 MB
2. Statistics and Probability Refresher, and Python Practise/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4 119.3 MB
8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.mp4 116.9 MB
2. Statistics and Probability Refresher, and Python Practise/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB

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【影视】 [FreeCourseSite.com] Udemy - Machine Learning Regression Masterclass in Python

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04 - REGRESSION KEY PERFORMANCE INDICATORS/004 Bias Variance Tradeoff.mp4 199.4 MB
01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/005 ML vs. DL vs. AI.mp4 132.1 MB
03 - SIMPLE LINEAR REGRESSION/008 Project #1 - Test Model.mp4 120.5 MB
09 - LASSO AND RIDGE REGRESSION/005 Ridge and Lasso in Practice.mp4 115.1 MB
04 - REGRESSION KEY PERFORMANCE INDICATORS/002 Regression Metric Part 1.mp4 114.9 MB
06 - MULTIPLE LINEAR REGRESSION/005 Project #1 - Model Training and Evaluation.mp4 105.2 MB
08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/012 Evaluate the Model.mp4 104.5 MB
03 - SIMPLE LINEAR REGRESSION/002 Simple Linear Regression Intuition.mp4 102.6 MB
06 - MULTIPLE LINEAR REGRESSION/012 Project #2 - Retraining Model.mp4 102.2 MB
06 - MULTIPLE LINEAR REGRESSION/006 Project #1 - Model Results Evaluation.mp4 90.1 MB
03 - SIMPLE LINEAR REGRESSION/004 Project #1 - Overview.mp4 85.3 MB
08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/014 Model Improvement with more features.mp4 84.3 MB
08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/009 Project - Visualize Dataset.mp4 83.3 MB
07 - LOGISTIC REGRESSION/007 Project #2 - Training Testing.mp4 79.9 MB
08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/011 Train the Model.mp4 79.6 MB
06 - MULTIPLE LINEAR REGRESSION/009 Project #2 - Data Visualization.mp4 77.1 MB
07 - LOGISTIC REGRESSION/008 Model Testing Visualization.mp4 68.5 MB
08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/013 Multiple Linear regression.mp4 67.4 MB
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23 - Hierarchical Clustering/210 - Hierarchical Clustering Coding Part Two ScikitLearn.mp4 331.0 MB
5 - Pandas/46 - Pandas Project Exercise Solutions.mp4 300.7 MB
13 - Logistic Regression/137 - Logistic Regression Project Exercise Solutions.mp4 276.4 MB
8 - Data Analysis and Visualization Capstone Project Exercise/75 - Capstone Project Solutions Part Three.mp4 229.4 MB
17 - Random Forests/168 - Coding Classification with Random Forest Classifier Part Two.mp4 216.2 MB
24 - DBSCAN Densitybased spatial clustering of applications with noise/217 - DBSCAN Outlier Project Exercise Solutions.mp4 206.8 MB
25 - PCA Principal Component Analysis and Manifold Learning/224 - PCA Project Exercise Solution.mp4 202.1 MB
11 - Feature Engineering and Data Preparation/111 - Dealing with Missing Data Part Two Filling or Dropping data based on Rows.mp4 195.0 MB
16 - Tree Based Methods Decision Tree Learning/161 - Coding Decision Trees Part Two Creating the Model.mp4 191.2 MB
8 - Data Analysis and Visualization Capstone Project Exercise/73 - Capstone Project Solutions Part One.mp4 187.8 MB
19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/183 - Solution Walkthrough Supervised Learning Project Tree Models.mp4 183.2 MB
7 - Seaborn Data Visualizations/59 - Scatterplots with Seaborn.mp4 182.8 MB
7 - Seaborn Data Visualizations/71 - Seaborn Plot Exercises Solutions.mp4 180.3 MB
14 - KNN K Nearest Neighbors/143 - KNN Classification Project Exercise Solutions.mp4 178.6 MB
19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/181 - Solution Walkthrough Supervised Learning Project Data and EDA.mp4 177.2 MB
26 - Model Deployment/227 - Model Persistence.mp4 175.7 MB
5 - Pandas/41 - Pandas Input and Output HTML Tables.mp4 175.6 MB
13 - Logistic Regression/135 - MultiClass Classification with Logistic Regression Part Two Model.mp4 175.4 MB
11 - Feature Engineering and Data Preparation/112 - Dealing with Missing Data Part 3 Fixing data based on Columns.mp4 163.1 MB
8 - Data Analysis and Visualization Capstone Project Exercise/74 - Capstone Project Solutions Part Two.mp4 161.9 MB

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