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This is a collection of markdown, notebooks and/or other types of files. The images used inside are mostly from Andrew Ng and his courses. This is useful for topic vise study, and preparations. It might contain some images from the ML course offered at Innopolis University. A student from IU can use this to get good score in that course, it covers all the topics covered (as of 2022) in that course, and more.

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bias variance epsilon feature-engineering gradient-descent learning-curve momentum normalization vectorization norm-as-gradient

ml_iu_study_material's Introduction

This repo. contains the notebooks and files of important topics in ML by me. Some of the pictures used are from Andrew NG speacialization course on coursera, and some are from course offered at Innopolis University. It can be used to study, or pass interviews.

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