Machine Learning and AI Foundations - Classification Modeling\2.1. The Big Picture - Defining Your Classification Strategy\08.Statistics vs. machine learning.mp4
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Machine Learning and AI Foundations - Classification Modeling\2.1. The Big Picture - Defining Your Classification Strategy\09.Model assessment vs. business evaluation.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\2.1. The Big Picture - Defining Your Classification Strategy\04.The importance of binary classification.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\2.1. The Big Picture - Defining Your Classification Strategy\05.Binary vs. multinomial.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\2.1. The Big Picture - Defining Your Classification Strategy\07.One task, many algorithms.mp4
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Machine Learning and AI Foundations - Classification Modeling\2.1. The Big Picture - Defining Your Classification Strategy\06.So-called “b |
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Machine Learning and AI Foundations - Classification Modeling\2.1. The Big Picture - Defining Your Classification Strategy\08.Statistics vs. machine learning.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\2.1. The Big Picture - Defining Your Classification Strategy\09.Model assessment vs. business evaluation.mp4
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Machine Learning and AI Foundations - Classification Modeling\2.1. The Big Picture - Defining Your Classification Strategy\04.The importance of binary classification.mp4
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Machine Learning and AI Foundations - Classification Modeling\2.1. The Big Picture - Defining Your Classification Strategy\05.Binary vs. multinomial.mp4
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Machine Learning and AI Foundations - Classification Modeling\2.1. The Big Picture - Defining Your Classification Strategy\07.One task, many algorithms.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\1.Introduction\03.Defining terms.mp4
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Machine Learning and AI Foundations - Classification Modeling\1.Introduction\01.Classification problems in machine learning.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\1.Introduction\03.Defining terms.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\1.Introduction\02.What you should know.mp4
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Machine Learning and AI Foundations - Classification Modeling\1.Introduction\01.Classification problems in machine learning.mp4
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Machine Learning and AI Foundations - Classification Modeling\1.Introduction\02.What you should know.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\15.Discriminant with three categories.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\15.Discriminant with three categories.mp4
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\19.Stepwise logistic regression.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\21.KNN.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\14.Overview.mp4
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\23.Neural nets.mp4
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\22.Linear SVM.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\16.Discriminant with two categories.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\20.Decision Trees.mp4
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\17.Stepwise discriminant.mp4
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\16.Discriminant with two categories.mp4
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\19.Stepwise logistic regression.mp4
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\24.Bayesian networks.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\23.Neural nets.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\22.Linear SVM.mp4
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\18.Logistic regression.mp4
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\18.Logistic regression.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\25.Ensembles.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\24.Bayesian networks.mp4
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\21.KNN.mp4
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\25.Ensembles.mp4
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\14.Overview.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\17.Stepwise discriminant.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\4.3. Algorithms on Parade\20.Decision Trees.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\6.Conclusion\31.Next steps.mp4
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Machine Learning and AI Foundations - Classification Modeling\6.Conclusion\31.Next steps.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\3.2. How Do I Choose a 'Winner'\10.Training and test partitions.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\3.2. How Do I Choose a 'Winner'\12.Gains tables.mp4
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Machine Learning and AI Foundations - Classification Modeling\3.2. How Do I Choose a 'Winner'\11.Lift Charts.mp4
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Machine Learning and AI Foundations - Classification Modeling\3.2. How Do I Choose a 'Winner'\12.Gains tables.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\3.2. How Do I Choose a 'Winner'\13.Confusion matrix.mp4
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Machine Learning and AI Foundations - Classification Modeling\3.2. How Do I Choose a 'Winner'\11.Lift Charts.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\3.2. How Do I Choose a 'Winner'\13.Confusion matrix.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\3.2. How Do I Choose a 'Winner'\10.Training and test partitions.mp4
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Machine Learning and AI Foundations - Classification Modeling\5.4. Common Modeling Challenges\29.Bias-variance trade-off and overfitting.mp4
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Machine Learning and AI Foundations - Classification Modeling\5.4. Common Modeling Challenges\27.Interactions.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\5.4. Common Modeling Challenges\28.Missing data.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\5.4. Common Modeling Challenges\29.Bias-variance trade-off and overfitting.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\5.4. Common Modeling Challenges\30.Data reduction.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\5.4. Common Modeling Challenges\27.Interactions.mp4
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Machine Learning and AI Foundations - Classification Modeling\5.4. Common Modeling Challenges\26.Imbalanced target categories.en.srt |
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Machine Learning and AI Foundations - Classification Modeling\5.4. Common Modeling Challenges\28.Missing data.mp4
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Machine Learning and AI Foundations - Classification Modeling\5.4. Common Modeling Challenges\30.Data reduction.mp4
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