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Getting Started with Machine Learning in R [Video]

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File Name
Size
2.Our First Dataset/09.Cleaning Our Dataset.mp4
320 MB
1.Machine Learning Techniques in R/02.Applications of Machine Learning.mp4
22 MB
1.Machine Learning Techniques in R/03.Exploring Steps in End-To-End Processing of a Dataset.mp4
47 MB
1.Machine Learning Techniques in R/04.Goals of Machine Learning.mp4
64 MB
1.Machine Learning Techniques in R/05.Supervised Machine Learning.mp4
78 MB
1.Machine Learning Techniques in R/06.Unsupervised Machine Learning.mp4
111 MB
1.Machine Learning Techniques in R/07.Ensemble Methods.mp4
37 MB
2.Our First Dataset/08.Preparing Our First Dataset.mp4
68 MB
1.Machine Learning Techniques in R/01.The Course Overview.mp4
25 MB
3.Regression/10.Linear and Logistic Regression.mp4
15 MB
3.Regression/11.Regression on the Pima Dataset.mp4
137 MB
4.Running a Random Forest Algorithm/12.Random Forest on the Pima Dataset.mp4
36 MB
4.Running a Random Forest Algorithm/13.Running Random Forest.mp4
73 MB
5.Naive Bayes Algorithm/14.Naive Bayes on the Pima dataset.mp4
15 MB
5.Naive Bayes Algorithm/15.Running Naive Bayes.mp4
95 MB
5.Naive Bayes Algorithm/16.Combining Algorithms.mp4
67 MB
6.Data Visualization in R/17.Presenting Graphical Information.mp4
20 MB
6.Data Visualization in R/18.The ggplot2 Package.mp4
66 MB
6.Data Visualization in R/19.Plot Examples, Good and Bad.mp4
178 MB
7.Now You Try a New Dataset/20.Dataset Part One.mp4
16 MB
7.Now You Try a New Dataset/21.Dataset Part Two.mp4
74 MB
7.Now You Try a New Dataset/22.Dataset Part Three.mp4
47 MB
7.Now You Try a New Dataset/23.Dataset Part Four.mp4
17 MB
Exercise Files/code_33988.zip
4.2 kB