Getting Started with Machine Learning in R [Video]
File List
- 2.Our First Dataset/09.Cleaning Our Dataset.mp4 319.7 MB
- 6.Data Visualization in R/19.Plot Examples, Good and Bad.mp4 178.5 MB
- 3.Regression/11.Regression on the Pima Dataset.mp4 136.9 MB
- 1.Machine Learning Techniques in R/06.Unsupervised Machine Learning.mp4 111.4 MB
- 5.Naive Bayes Algorithm/15.Running Naive Bayes.mp4 94.9 MB
- 1.Machine Learning Techniques in R/05.Supervised Machine Learning.mp4 77.8 MB
- 7.Now You Try a New Dataset/21.Dataset Part Two.mp4 73.7 MB
- 4.Running a Random Forest Algorithm/13.Running Random Forest.mp4 73.0 MB
- 2.Our First Dataset/08.Preparing Our First Dataset.mp4 67.7 MB
- 5.Naive Bayes Algorithm/16.Combining Algorithms.mp4 66.6 MB
- 6.Data Visualization in R/18.The ggplot2 Package.mp4 66.4 MB
- 1.Machine Learning Techniques in R/04.Goals of Machine Learning.mp4 63.9 MB
- 7.Now You Try a New Dataset/22.Dataset Part Three.mp4 47.3 MB
- 1.Machine Learning Techniques in R/03.Exploring Steps in End-To-End Processing of a Dataset.mp4 47.1 MB
- 1.Machine Learning Techniques in R/07.Ensemble Methods.mp4 36.6 MB
- 4.Running a Random Forest Algorithm/12.Random Forest on the Pima Dataset.mp4 35.6 MB
- 1.Machine Learning Techniques in R/01.The Course Overview.mp4 25.3 MB
- 1.Machine Learning Techniques in R/02.Applications of Machine Learning.mp4 21.9 MB
- 6.Data Visualization in R/17.Presenting Graphical Information.mp4 19.7 MB
- 7.Now You Try a New Dataset/23.Dataset Part Four.mp4 17.4 MB
- 7.Now You Try a New Dataset/20.Dataset Part One.mp4 15.7 MB
- 5.Naive Bayes Algorithm/14.Naive Bayes on the Pima dataset.mp4 15.2 MB
- 3.Regression/10.Linear and Logistic Regression.mp4 15.1 MB
- Exercise Files/code_33988.zip 4.2 KB
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