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Machine Learning and AI Foundations - Classification Modeling

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File Name
Size
4.3. Algorithms on Parade/18.Logistic regression.mp4
25 MB
1.Introduction/01.Classification problems in machine learning.mp4
3.9 MB
1.Introduction/02.What you should know.en.srt
2.5 kB
1.Introduction/02.What you should know.mp4
3.6 MB
1.Introduction/03.Defining terms.en.srt
5.0 kB
1.Introduction/03.Defining terms.mp4
5.0 MB
2.1. The Big Picture - Defining Your Classification Strategy/04.The importance of binary classification.en.srt
2.8 kB
2.1. The Big Picture - Defining Your Classification Strategy/04.The importance of binary classification.mp4
3.2 MB
2.1. The Big Picture - Defining Your Classification Strategy/05.Binary vs. multinomial.en.srt
5.4 kB
2.1. The Big Picture - Defining Your Classification Strategy/05.Binary vs. multinomial.mp4
8.9 MB
2.1. The Big Picture - Defining Your Classification Strategy/06.So-called “black box” techniques.en.srt
4.3 kB
2.1. The Big Picture - Defining Your Classification Strategy/06.So-called “black box” techniques.mp4
6.7 MB
2.1. The Big Picture - Defining Your Classification Strategy/07.One task, many algorithms.en.srt
3.7 kB
2.1. The Big Picture - Defining Your Classification Strategy/07.One task, many algorithms.mp4
8.5 MB
2.1. The Big Picture - Defining Your Classification Strategy/08.Statistics vs. machine learning.en.srt
4.1 kB
2.1. The Big Picture - Defining Your Classification Strategy/08.Statistics vs. machine learning.mp4
6.7 MB
2.1. The Big Picture - Defining Your Classification Strategy/09.Model assessment vs. business evaluation.en.srt
2.3 kB
2.1. The Big Picture - Defining Your Classification Strategy/09.Model assessment vs. business evaluation.mp4
4.9 MB
3.2. How Do I Choose a 'Winner'/10.Training and test partitions.en.srt
4.6 kB
3.2. How Do I Choose a 'Winner'/10.Training and test partitions.mp4
5.5 MB
3.2. How Do I Choose a 'Winner'/11.Lift Charts.en.srt
2.8 kB
3.2. How Do I Choose a 'Winner'/11.Lift Charts.mp4
3.4 MB
3.2. How Do I Choose a 'Winner'/12.Gains tables.en.srt
3.4 kB
3.2. How Do I Choose a 'Winner'/12.Gains tables.mp4
4.5 MB
3.2. How Do I Choose a 'Winner'/13.Confusion matrix.en.srt
5.0 kB
3.2. How Do I Choose a 'Winner'/13.Confusion matrix.mp4
6.1 MB
4.3. Algorithms on Parade/14.Overview.en.srt
3.0 kB
4.3. Algorithms on Parade/14.Overview.mp4
3.6 MB
4.3. Algorithms on Parade/15.Discriminant with three categories.en.srt
9.2 kB
4.3. Algorithms on Parade/15.Discriminant with three categories.mp4
12 MB
4.3. Algorithms on Parade/16.Discriminant with two categories.en.srt
8.5 kB
4.3. Algorithms on Parade/16.Discriminant with two categories.mp4
8.8 MB
4.3. Algorithms on Parade/17.Stepwise discriminant.en.srt
1.7 kB
4.3. Algorithms on Parade/17.Stepwise discriminant.mp4
1.8 MB
4.3. Algorithms on Parade/18.Logistic regression.en.srt
17 kB
1.Introduction/01.Classification problems in machine learning.en.srt
2.2 kB
4.3. Algorithms on Parade/19.Stepwise logistic regression.en.srt
1.7 kB
4.3. Algorithms on Parade/19.Stepwise logistic regression.mp4
1.7 MB
4.3. Algorithms on Parade/20.Decision Trees.en.srt
6.5 kB
4.3. Algorithms on Parade/20.Decision Trees.mp4
9.2 MB
4.3. Algorithms on Parade/21.KNN.en.srt
6.1 kB
4.3. Algorithms on Parade/21.KNN.mp4
8.9 MB
4.3. Algorithms on Parade/22.Linear SVM.en.srt
12 kB
4.3. Algorithms on Parade/22.Linear SVM.mp4
13 MB
4.3. Algorithms on Parade/23.Neural nets.en.srt
13 kB
4.3. Algorithms on Parade/23.Neural nets.mp4
15 MB
4.3. Algorithms on Parade/24.Bayesian networks.en.srt
11 kB
4.3. Algorithms on Parade/24.Bayesian networks.mp4
18 MB
4.3. Algorithms on Parade/25.Ensembles.en.srt
7.0 kB
4.3. Algorithms on Parade/25.Ensembles.mp4
9.4 MB
5.4. Common Modeling Challenges/26.Imbalanced target categories.en.srt
4.4 kB
5.4. Common Modeling Challenges/26.Imbalanced target categories.mp4
5.8 MB
5.4. Common Modeling Challenges/27.Interactions.en.srt
6.5 kB
5.4. Common Modeling Challenges/27.Interactions.mp4
8.2 MB
5.4. Common Modeling Challenges/28.Missing data.en.srt
4.8 kB
5.4. Common Modeling Challenges/28.Missing data.mp4
6.7 MB
5.4. Common Modeling Challenges/29.Bias-variance trade-off and overfitting.en.srt
8.5 kB
5.4. Common Modeling Challenges/29.Bias-variance trade-off and overfitting.mp4
11 MB
5.4. Common Modeling Challenges/30.Data reduction.en.srt
11 kB
5.4. Common Modeling Challenges/30.Data reduction.mp4
15 MB
6.Conclusion/31.Next steps.en.srt
5.4 kB
6.Conclusion/31.Next steps.mp4
5.7 MB