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Practicing machine learning algorithms and practices. Random Forest, Linear Regression, Logistic Regressions etc.

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MrRutledge/ML_Practice

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Machine Learning Practice

Work that I do while learning or practicing on a machine learning can be found here.

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Linear Regression

My implementation of Linear Regression, Cross validation and model interpretation methods

House prices

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.

California Houses

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.

Boston Dataset

My implementation of Linear Regression using machine learning techniques from multiple sources.

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Practicing machine learning algorithms and practices. Random Forest, Linear Regression, Logistic Regressions etc.

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