Machine Learning Basic Tutorial Using Python

A repository for storing all the code I wrote as a beginner in Machine Learning.

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This repo not only keeps track of my learning progress, but also lists various resources for learning ML which I use on daily basis.

Info & Credits

Most of the code is written using Jupyter-notebook. This repository contains the following subdir:

• basics: Writing general machine learning algorithms from scratch in python. The code is followed from a tutorial Sentdex ML from scratch series
• nnfs: Neural Networks from scratch series followed directly from Sentdex NNFS series
• notebooks: These are my jupyter notebooks where I wrote the code myself. These involve practise projects as well as some Kaggle challenges.
• reinforced-learning: Tutorial followed from an one of my favorite ML channel Deeplizard