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Download /[FreeCoursesOnline.Me] [Packt] Real-World Machine Learning Projects with Scikit-Learn - [FCO]/4.Poker Hand Predictions with K-Means Clustering/20.Implementing the Solution.mp4

FreeCoursesOnline Me Packt Real World Machine Learning Projects with Scikit Learn FCO

Poker Hand Predictions with Means Clustering 20 Implementing the Solution mp4

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[FreeCoursesOnline.Me] [Packt] Real-World Machine Learning Projects with Scikit-Learn - [FCO]

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Total Size

522.9 MB

Total Files

33

Hash

687FA34F7C44C3E1CC7CF29BBC5177798A2287C0

/4.Poker Hand Predictions with K-Means Clustering/20.Implementing the Solution.mp4

27.6 MB

/4.Poker Hand Predictions with K-Means Clustering/21.Analyze the Results.mp4

22.7 MB

/4.Poker Hand Predictions with K-Means Clustering/18.K-Means Clustering.mp4

19.3 MB

/4.Poker Hand Predictions with K-Means Clustering/19.Feature Analysis and Engineering.mp4

30.1 MB

/3.Heart Disease Predictions with Support Vector Machines/15.Implementing the Solution.mp4

31.0 MB

/2.Bike Sharing Demand Prediction Using Regression Trees/10.Implementing the Solution.mp4

25.5 MB

/4.Poker Hand Predictions with K-Means Clustering/17.Exploring the Dataset and Identifying the Problem.mp4

8.4 MB

/5.Understanding Buying Behavior Using Hierarchical Clustering/25.Implementing the Solution.mp4

22.8 MB

/1.Predicting the Wine Quality Using Multiple Linear Regression/04.Implementing the Solution.mp4

44.2 MB

/3.Heart Disease Predictions with Support Vector Machines/16.Analyze the Results.mp4

13.4 MB

/2.Bike Sharing Demand Prediction Using Regression Trees/11.Analyze the Results.mp4

16.0 MB

/3.Heart Disease Predictions with Support Vector Machines/13.Support Vector Machines.mp4

12.6 MB

/5.Understanding Buying Behavior Using Hierarchical Clustering/26.Analyze the Results.mp4

15.2 MB

/3.Heart Disease Predictions with Support Vector Machines/14.Feature Analysis and Engineering.mp4

28.9 MB

/5.Understanding Buying Behavior Using Hierarchical Clustering/23.Hierarchical Clustering.mp4

12.8 MB

 

Showing first 15 files of 33 total files


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