Machine Learning and AI Foundations - Classification Modeling
- 收录时间:2018-12-25 07:21:11
- 文件大小:250MB
- 下载次数:104
- 最近下载:2021-01-22 22:40:46
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文件列表
- 4.3. Algorithms on Parade/18.Logistic regression.mp4 25MB
- 4.3. Algorithms on Parade/24.Bayesian networks.mp4 18MB
- 5.4. Common Modeling Challenges/30.Data reduction.mp4 15MB
- 4.3. Algorithms on Parade/23.Neural nets.mp4 15MB
- 4.3. Algorithms on Parade/22.Linear SVM.mp4 13MB
- 4.3. Algorithms on Parade/15.Discriminant with three categories.mp4 12MB
- 5.4. Common Modeling Challenges/29.Bias-variance trade-off and overfitting.mp4 11MB
- 4.3. Algorithms on Parade/25.Ensembles.mp4 9MB
- 4.3. Algorithms on Parade/20.Decision Trees.mp4 9MB
- 2.1. The Big Picture - Defining Your Classification Strategy/05.Binary vs. multinomial.mp4 9MB
- 4.3. Algorithms on Parade/21.KNN.mp4 9MB
- 4.3. Algorithms on Parade/16.Discriminant with two categories.mp4 9MB
- 2.1. The Big Picture - Defining Your Classification Strategy/07.One task, many algorithms.mp4 9MB
- 5.4. Common Modeling Challenges/27.Interactions.mp4 8MB
- 2.1. The Big Picture - Defining Your Classification Strategy/08.Statistics vs. machine learning.mp4 7MB
- 5.4. Common Modeling Challenges/28.Missing data.mp4 7MB
- 2.1. The Big Picture - Defining Your Classification Strategy/06.So-called “black box” techniques.mp4 7MB
- 3.2. How Do I Choose a 'Winner'/13.Confusion matrix.mp4 6MB
- 5.4. Common Modeling Challenges/26.Imbalanced target categories.mp4 6MB
- 6.Conclusion/31.Next steps.mp4 6MB
- 3.2. How Do I Choose a 'Winner'/10.Training and test partitions.mp4 5MB
- 1.Introduction/03.Defining terms.mp4 5MB
- 2.1. The Big Picture - Defining Your Classification Strategy/09.Model assessment vs. business evaluation.mp4 5MB
- 3.2. How Do I Choose a 'Winner'/12.Gains tables.mp4 4MB
- 1.Introduction/01.Classification problems in machine learning.mp4 4MB
- 1.Introduction/02.What you should know.mp4 4MB
- 4.3. Algorithms on Parade/14.Overview.mp4 4MB
- 3.2. How Do I Choose a 'Winner'/11.Lift Charts.mp4 3MB
- 2.1. The Big Picture - Defining Your Classification Strategy/04.The importance of binary classification.mp4 3MB
- 4.3. Algorithms on Parade/17.Stepwise discriminant.mp4 2MB
- 4.3. Algorithms on Parade/19.Stepwise logistic regression.mp4 2MB
- 4.3. Algorithms on Parade/18.Logistic regression.en.srt 17KB
- 4.3. Algorithms on Parade/23.Neural nets.en.srt 13KB
- 4.3. Algorithms on Parade/22.Linear SVM.en.srt 12KB
- 4.3. Algorithms on Parade/24.Bayesian networks.en.srt 11KB
- 5.4. Common Modeling Challenges/30.Data reduction.en.srt 11KB
- 4.3. Algorithms on Parade/15.Discriminant with three categories.en.srt 9KB
- 5.4. Common Modeling Challenges/29.Bias-variance trade-off and overfitting.en.srt 9KB
- 4.3. Algorithms on Parade/16.Discriminant with two categories.en.srt 9KB
- 4.3. Algorithms on Parade/25.Ensembles.en.srt 7KB
- 4.3. Algorithms on Parade/20.Decision Trees.en.srt 7KB
- 5.4. Common Modeling Challenges/27.Interactions.en.srt 6KB
- 4.3. Algorithms on Parade/21.KNN.en.srt 6KB
- 6.Conclusion/31.Next steps.en.srt 5KB
- 2.1. The Big Picture - Defining Your Classification Strategy/05.Binary vs. multinomial.en.srt 5KB
- 3.2. How Do I Choose a 'Winner'/13.Confusion matrix.en.srt 5KB
- 1.Introduction/03.Defining terms.en.srt 5KB
- 5.4. Common Modeling Challenges/28.Missing data.en.srt 5KB
- 3.2. How Do I Choose a 'Winner'/10.Training and test partitions.en.srt 5KB
- 5.4. Common Modeling Challenges/26.Imbalanced target categories.en.srt 4KB
- 2.1. The Big Picture - Defining Your Classification Strategy/06.So-called “black box” techniques.en.srt 4KB
- 2.1. The Big Picture - Defining Your Classification Strategy/08.Statistics vs. machine learning.en.srt 4KB
- 2.1. The Big Picture - Defining Your Classification Strategy/07.One task, many algorithms.en.srt 4KB
- 3.2. How Do I Choose a 'Winner'/12.Gains tables.en.srt 3KB
- 4.3. Algorithms on Parade/14.Overview.en.srt 3KB
- 2.1. The Big Picture - Defining Your Classification Strategy/04.The importance of binary classification.en.srt 3KB
- 3.2. How Do I Choose a 'Winner'/11.Lift Charts.en.srt 3KB
- 1.Introduction/02.What you should know.en.srt 2KB
- 2.1. The Big Picture - Defining Your Classification Strategy/09.Model assessment vs. business evaluation.en.srt 2KB
- 1.Introduction/01.Classification problems in machine learning.en.srt 2KB
- 4.3. Algorithms on Parade/17.Stepwise discriminant.en.srt 2KB
- 4.3. Algorithms on Parade/19.Stepwise logistic regression.en.srt 2KB