Machine Learning Models from scratch

This repository contains Jupyter Notebooks with implementations of different ML models. For every Model there is an example with sklearn and an implementation from scratch.

At the top of each Notebook I linked the sources I used. My main source is sentdex's machine learning tutorial. The "example"-notebooks contain a brief explaination of the model used. In (almost) every "from-scratch"-Notebook I wrote an explaination of the model & code.

List of ML models that have been implemented:

Linear regression
K nearest neighbors
Support vector machine
Decision Tree
Random Forest
K Means
Mean shift

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
data		data
.gitignore		.gitignore
LICENSE.md		LICENSE.md
LinearRegression.pickle		LinearRegression.pickle
ML 1.1 - Linear Regression - example.ipynb		ML 1.1 - Linear Regression - example.ipynb
ML 1.2 - Linear Regression - from scratch.ipynb		ML 1.2 - Linear Regression - from scratch.ipynb
ML 2.1 - K Nearest Neighbors - example.ipynb		ML 2.1 - K Nearest Neighbors - example.ipynb
ML 2.2 - K Nearest Neighbors - from scratch.ipynb		ML 2.2 - K Nearest Neighbors - from scratch.ipynb
ML 3.1 - Support Vector Machines - example.ipynb		ML 3.1 - Support Vector Machines - example.ipynb
ML 3.2 - Support Vector Machine - from scratch.ipynb		ML 3.2 - Support Vector Machine - from scratch.ipynb
ML 4.1 - Decision Tree - example.ipynb		ML 4.1 - Decision Tree - example.ipynb
ML 4.2 - Decision Tree - from scratch.ipynb		ML 4.2 - Decision Tree - from scratch.ipynb
ML 5.1 - Random Forest - example.ipynb		ML 5.1 - Random Forest - example.ipynb
ML 5.2 - Random Forest - from scratch.ipynb		ML 5.2 - Random Forest - from scratch.ipynb
ML 6.1 - K Means - example.ipynb		ML 6.1 - K Means - example.ipynb
ML 6.2 - K Means - example - titanic data set.ipynb		ML 6.2 - K Means - example - titanic data set.ipynb
ML 6.3 - K Means - from scratch.ipynb		ML 6.3 - K Means - from scratch.ipynb
ML 7.1 - Mean Shift - example.ipynb		ML 7.1 - Mean Shift - example.ipynb
ML 7.2 - Mean Shift - example - titanic dataset.ipynb		ML 7.2 - Mean Shift - example - titanic dataset.ipynb
ML 7.3 - Mean Shift - from scratch.ipynb		ML 7.3 - Mean Shift - from scratch.ipynb
README.md		README.md
requirements.txt		requirements.txt

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JKKDY/Machine-Learning-From-Scratch

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Machine Learning Models from scratch

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