Work that I do while learning or practicing on a machine learning can be found here.
My implementation of Linear Regression, Cross validation and model interpretation methods
This notebook I used Kaggles's Housing dataset to implement Random Forest, the aim was to predict the price of the House using FastAI Library.
In this notebook I follow an End to End process of a machine learning project. I use chapter two of Hands on Machine learning with Scikit Learn by Aurelien Geron
FastAi Machine Learning Course This notebook is a collection of notes from the FastAi Machine Learning Course from Lesson one to lesson seven.
My implementation of Linear Regression using machine learning techniques from multiple sources.