Machine Learning and AI Foundations - Classification Modeling
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2018-12-24 09:00 | 2024-11-16 09:17 | 134 | 249.75 MB | 31 |
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文件列表
- 4.3. Algorithms on Parade/18.Logistic regression.mp424.63MB
- 1.Introduction/01.Classification problems in machine learning.mp43.9MB
- 1.Introduction/02.What you should know.mp43.64MB
- 1.Introduction/03.Defining terms.mp44.95MB
- 2.1. The Big Picture - Defining Your Classification Strategy/04.The importance of binary classification.mp43.21MB
- 2.1. The Big Picture - Defining Your Classification Strategy/05.Binary vs. multinomial.mp48.94MB
- 2.1. The Big Picture - Defining Your Classification Strategy/06.So-called “black box” techniques.mp46.66MB
- 2.1. The Big Picture - Defining Your Classification Strategy/07.One task, many algorithms.mp48.53MB
- 2.1. The Big Picture - Defining Your Classification Strategy/08.Statistics vs. machine learning.mp46.68MB
- 2.1. The Big Picture - Defining Your Classification Strategy/09.Model assessment vs. business evaluation.mp44.87MB
- 3.2. How Do I Choose a 'Winner'/10.Training and test partitions.mp45.46MB
- 3.2. How Do I Choose a 'Winner'/11.Lift Charts.mp43.37MB
- 3.2. How Do I Choose a 'Winner'/12.Gains tables.mp44.46MB
- 3.2. How Do I Choose a 'Winner'/13.Confusion matrix.mp46.07MB
- 4.3. Algorithms on Parade/14.Overview.mp43.56MB
- 4.3. Algorithms on Parade/15.Discriminant with three categories.mp412.15MB
- 4.3. Algorithms on Parade/16.Discriminant with two categories.mp48.81MB
- 4.3. Algorithms on Parade/17.Stepwise discriminant.mp41.76MB
- 4.3. Algorithms on Parade/19.Stepwise logistic regression.mp41.74MB
- 4.3. Algorithms on Parade/20.Decision Trees.mp49.24MB
- 4.3. Algorithms on Parade/21.KNN.mp48.88MB
- 4.3. Algorithms on Parade/22.Linear SVM.mp413.31MB
- 4.3. Algorithms on Parade/23.Neural nets.mp414.87MB
- 4.3. Algorithms on Parade/24.Bayesian networks.mp417.7MB
- 4.3. Algorithms on Parade/25.Ensembles.mp49.42MB
- 5.4. Common Modeling Challenges/26.Imbalanced target categories.mp45.83MB
- 5.4. Common Modeling Challenges/27.Interactions.mp48.24MB
- 5.4. Common Modeling Challenges/28.Missing data.mp46.67MB
- 5.4. Common Modeling Challenges/29.Bias-variance trade-off and overfitting.mp411.2MB
- 5.4. Common Modeling Challenges/30.Data reduction.mp415.34MB
- 6.Conclusion/31.Next steps.mp45.65MB
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