In this repository, you can find the implementation of Machine Learning Algorithms from scratch. The aim of this project is to understand the fundamentals of the algorithms.
You can find a comparison with the popular ML/DL libraries Scikit-Learn and Keras.
- Decision Tree
- Elastic Net
- Gradient Boosting Machine
- K-Nearest Neighbor
- Lasso Regression
- Linear Regression
- Logistic Regression
- Naive Bayes
- Neural Networks
- Perceptron
- Polynomial Regression
- Random Forest
- Ridge Regression
Please check out the REFERENCES file.