machine-learning

Codes for various machine learning approaches

1. Linear Regression (car_prices.ipynb)
2. Logistic Regression (student_results.ipynb)
3. Neural Networks (binary__classification.ipynb) (digit_recognition.ipynb)
4. Decision Trees (decision_tree.ipynb)

This repository shows cost function, gradient descent, vectorization, normalization, regularization All of this is done in raw format without using ML libraries like scikit-learn, etc. NB: For Deep Learning Tensorflow is used.