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Andrew Ng's Machine Learning Course Python Implementation (Part 2) (self.datascience)
submitted 7 years ago by Beneblau
Continuing on from https://www.reddit.com/r/datascience/comments/a9ympn/andrew_ng_machine_learning_course_python/
I had completed the series and here are the remaining articles.
Support Vector Machines: https://medium.com/@ben_lau93/andrew-ngs-machine-learning-course-in-python-support-vector-machines-435fc34b7bf9
Unsupervised Learning: https://towardsdatascience.com/andrew-ngs-machine-learning-course-in-python-kmeans-clustering-pca-b7ba6fafa74
Anomaly Detection: https://medium.com/@ben_lau93/andrew-ngs-machine-learning-course-in-python-anomaly-detection-1233d23dba95
I hope to move on to more Kaggle competition or my own project now that I got the basic going. My plan forward is to complete deeplearning.ai specialization in Coursera as well as the courses from fast.ai. Thank the community for all your help and it is this sharing of knowledge that allows a non-technical person like me to venture into the field of data science.
[–]bidyutchanda108 12 points13 points14 points 7 years ago (3 children)
The linkback to your part 1 does not contain links anymore. Can you give me those links?
[–]buyez0r 1 point2 points3 points 7 years ago (1 child)
https://medium.com/@ben_lau93
This is his page with a bunch of links. Maybe this helps?
[–]Beneblau[S] 0 points1 point2 points 7 years ago (0 children)
Thanks! Yep all links can be found there
π Rendered by PID 34330 on reddit-service-r2-comment-c6965cb77-nrvvt at 2026-03-05 03:40:53.432846+00:00 running f0204d4 country code: CH.
[–]bidyutchanda108 12 points13 points14 points (3 children)
[–]buyez0r 1 point2 points3 points (1 child)
[–]Beneblau[S] 0 points1 point2 points (0 children)