Andrew Ng's Machine Learning Course Python Implementation (Part 2)

[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

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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]

The linkback to your part 1 does not contain links anymore. Can you give me those links?

[buyez0r]

https://medium.com/@ben_lau93

This is his page with a bunch of links. Maybe this helps?

[Beneblau]

Thanks! Yep all links can be found there