Implementations From Scratch

This repo contains our implementations of algorithms in Machine Learning, Deep Learning and Data Science on several programming languages.

Authors and maintainers of these implementations are given below:

Implementation	Author(s) & Contributors
Central Limit Theorem with Rolling a Dice	Şafak Bilici
How to Train Model Exactly	Şafak Bilici
k-Nearest Neighbors Classifier	Şafak Bilici
Logistic Regression	Şafak Bilici
Multiple Linear Regression	Şafak Bilici
Perceptron Classifier	Şafak Bilici
Principal Component Analysis	Şafak Bilici
K-Means & K-Fold	Berk Sudan
Linear Regression & Logistic Regression	Enes Sadi
Polynomial Regression	Oğuzhan Ercan
Gaussian Discriminant Analysis	Tuğrul Hasan Karabulut, Şafak Bilici
Tree Based Methods	Tuğrul Hasan Karabulut

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Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
Central Limit Theorem with Rolling a Dice		Central Limit Theorem with Rolling a Dice
Gaussian Discriminant Analysis		Gaussian Discriminant Analysis
How to Train Model Exactly		How to Train Model Exactly
K-Means & K-Fold		K-Means & K-Fold
Linear Regression & Logistic Regression		Linear Regression & Logistic Regression
Logistic Regression		Logistic Regression
Multiple Linear Regression		Multiple Linear Regression
Perceptron Classifier		Perceptron Classifier
Polynomial Regression		Polynomial Regression
Principal Component Analysis		Principal Component Analysis
Tree Based Methods		Tree Based Methods
k-Nearest Neighbors Classifier		k-Nearest Neighbors Classifier
README.md		README.md