Getting Started with Machine Learning in R [Video]
| 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 | 2019-2-26 12:59 | 2024-9-10 06:05 | 57 | 1.59 GB | 23 |
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文件列表
- 2.Our First Dataset/09.Cleaning Our Dataset.mp4319.7MB
- 1.Machine Learning Techniques in R/02.Applications of Machine Learning.mp421.88MB
- 1.Machine Learning Techniques in R/03.Exploring Steps in End-To-End Processing of a Dataset.mp447.1MB
- 1.Machine Learning Techniques in R/04.Goals of Machine Learning.mp463.92MB
- 1.Machine Learning Techniques in R/05.Supervised Machine Learning.mp477.85MB
- 1.Machine Learning Techniques in R/06.Unsupervised Machine Learning.mp4111.45MB
- 1.Machine Learning Techniques in R/07.Ensemble Methods.mp436.63MB
- 2.Our First Dataset/08.Preparing Our First Dataset.mp467.68MB
- 1.Machine Learning Techniques in R/01.The Course Overview.mp425.28MB
- 3.Regression/10.Linear and Logistic Regression.mp415.06MB
- 3.Regression/11.Regression on the Pima Dataset.mp4136.9MB
- 4.Running a Random Forest Algorithm/12.Random Forest on the Pima Dataset.mp435.58MB
- 4.Running a Random Forest Algorithm/13.Running Random Forest.mp472.96MB
- 5.Naive Bayes Algorithm/14.Naive Bayes on the Pima dataset.mp415.21MB
- 5.Naive Bayes Algorithm/15.Running Naive Bayes.mp494.86MB
- 5.Naive Bayes Algorithm/16.Combining Algorithms.mp466.63MB
- 6.Data Visualization in R/17.Presenting Graphical Information.mp419.74MB
- 6.Data Visualization in R/18.The ggplot2 Package.mp466.38MB
- 6.Data Visualization in R/19.Plot Examples, Good and Bad.mp4178.51MB
- 7.Now You Try a New Dataset/20.Dataset Part One.mp415.71MB
- 7.Now You Try a New Dataset/21.Dataset Part Two.mp473.66MB
- 7.Now You Try a New Dataset/22.Dataset Part Three.mp447.28MB
- 7.Now You Try a New Dataset/23.Dataset Part Four.mp417.36MB
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