Since April 1, 2024, I’m publishing my training material of Machine Learning with R on my YouTube channel:
https://www.youtube.com/user/bolhasani/
Machine Learning with R Playlist:
https://www.youtube.com/playlist?list=PLRbUOpXOpZ2pn8PKmSlYT5WVBFKQRctlJ
This playlist can be useful for all who are interested in Artificial Intelligence / Machine Learning. We have covered several concepts like supervised and unsupervised learning with R, Data Clustering, K-means, K-medoids, DBSCAN, etc. For the first episodes you can find and download the related materials here:
🔸 Variance, Covariance, Correlation, and Regression Concepts by Hamidreza Bolhasani: http://databiox.com/wp-content/uploads/2024/04/R_ML_20240327.pdf
🔸 Data Clustering with R (By Yanchang Zhao): https://www.webpages.uidaho.edu/~stevel/517/RDM-slides-clustering-with-r.pdf
🔸 K-means Slides by MIT University (Massachusetts Institute of Technology): http://www.mit.edu/~9.54/fall14/slides/Class13.pdf
🔸 K-means, K-medoids Slides from Carnegie Mellon University (By Ryan Tibshirani): https://www.stat.cmu.edu/~ryantibs/datamining/lectures/04-clus1.pdf
🔸 Clustering Lecture 4: Density-based Methods (University at Buffalo by Jing Gao): https://cse.buffalo.edu/~jing/cse601/fa12/materials/clustering_density.pdf
🔸 dbscan: Fast Density-based Clustering with R: https://www.jstatsoft.org/v91/i01/
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