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pbff-e7lt-xqzt.rar |
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Archived
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5 - Implementing Bin Counting and Feature Hashing\39 - Categorizing Continuous Data Using the KBinsDiscretizer.mp4
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5 - Implementing Bin Counting and Feature Hashing\38 - Bucketing Continuous Data Using Pandas.mp4
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5 - Implementing Bin Counting and Feature Hashing\43 - Summary and Further Study.mp4
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5 - Implementing Bin Counting and Feature Hashing\41 - Feature Hashing with Dictionaries, Tuples, and Text Data.mp4
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5 - Implementing Bin Counting and Feature Hashing\37 - Bucketing Continuous Data.mp4
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5 - Implementing Bin Counting and Feature Hashing\42 - Building a Simple Regression Model Using Hashed Categorical Values.mp4
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5 - Implementing Bin Counting and Feature Hashing\40 - Hashing.mp4
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5 - Implementing Bin Counting and Feature Hashing\36 - Module Overview.mp4
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building-features-nominal-data.zip |
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1 - Course Overview\01 - Course Overview.mp4
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2 - Implementing Approaches to Working with Categorical Data\02 - Module Overview.mp4
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2 - Implementing Approaches to Working with Categorical Data\10 - One-hot Encoding with Known and Unknown Categories.mp4
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2 - Implementing Approaches to Working with Categorical Data\11 - One-hot Encoding on a Pandas Data Frame Column.mp4
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2 - Implementing Approaches to Working with Categorical Data\04 - Continuous and Categorical Data.mp4
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2 - Implementing Approaches to Working with Categorical Data\13 - Label Encoding to Convert Categorical Data to Ordinal.mp4
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2 - Implementing Approaches to Working with Categorical Data\14 - Label Binarizer to Perform One vs. Rest Encoding of Targets .mp4
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2 - Implementing Approaches to Working with Categorical Data\05 - Numeric Data.mp4
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2 - Implementing Approaches to Working with Categorical Data\08 - Choosing between Label Encoding and One-hot Encoding.mp4
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2 - Implementing Approaches to Working with Categorical Data\15 - Multilabel Binarizer for Encoding Multilabel Targets.mp4
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2 - Implementing Approaches to Working with Categorical Data\16 - Module Summary.mp4
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2 - Implementing Approaches to Working with Categorical Data\07 - Label Encoding and One-hot Encoding.mp4
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2 - Implementing Approaches to Working with Categorical Data\09 - Types of Classification Tasks.mp4
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2 - Implementing Approaches to Working with Categorical Data\12 - One-hot Encoding Using pd.get_dummies().mp4
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2 - Implementing Approaches to Working with Categorical Data\06 - Categorical Data.mp4
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2 - Implementing Approaches to Working with Categorical Data\03 - Prerequisites and Course Outline.mp4
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3 - Understanding and Implementing Dummy Coding\18 - The Dummy Trap.mp4
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3 - Understanding and Implementing Dummy Coding\25 - Module Summary.mp4
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3 - Understanding and Implementing Dummy Coding\17 - Module Overview.mp4
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3 - Understanding and Implementing Dummy Coding\20 - Dummy Coding to Overcome Limitations of One-hot Encoding.mp4
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3 - Understanding and Implementing Dummy Coding\22 - Dummy Coding Using Patsy.mp4
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3 - Understanding and Implementing Dummy Coding\23 - Perform Regression Analysis Using Machine Learning on Dummy Coded Categories.mp4
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3 - Understanding and Implementing Dummy Coding\21 - Regression Analysis with Dummy or Treatment Coding.mp4
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3 - Understanding and Implementing Dummy Coding\24 - Performing Linear Regression Using Machine Learning with One-hot Encoded Categories.mp4
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3 - Understanding and Implementing Dummy Coding\19 - Avoiding the Dummy Trap.mp4
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4 - Understanding and Implementing Contrast Coding\33 - Generating Equally Spaced Categories to Perform Orthogonal Polynomial Encoding.mp4
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4 - Understanding and Implementing Contrast Coding\35 - Module Summary.mp4
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4 - Understanding and Implementing Contrast Coding\27 - Dummy Coding vs. Contrast Coding.mp4
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4 - Understanding and Implementing Contrast Coding\30 - Performing Linear Regression Using Machine Learning with Simple Effect Coding.mp4
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4 - Understanding and Implementing Contrast Coding\32 - Regression Using Helmert Encoding.mp4
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4 - Understanding and Implementing Contrast Coding\31 - Regression Using Backward Difference Encoding.mp4
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4 - Understanding and Implementing Contrast Coding\28 - Exploring Contrast Coding Techniques.mp4
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4 - Understanding and Implementing Contrast Coding\34 - Performing Regression Analysis Using Orthogonal Polynomial Encoding.mp4
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4 - Understanding and Implementing Contrast Coding\29 - Regression Analysis Using Simple Effect Coding.mp4
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4 - Understanding and Implementing Contrast Coding\26 - Module Overview.mp4
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5 - Implementing Bin Counting and Feature Hashing |
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1 - Course Overview |
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2 - Implementing Approaches to Working with Categorical Data |
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3 - Understanding and Implementing Dummy Coding |
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4 - Understanding and Implementing Contrast Coding |
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