pankajiitkgp08 / ML-Algorithms-from-scratch

This repo contains codes for popular Machine Learning Algorithms written using Numpy. These tend to be very useful to understand each algorithm in detail as well as for interview purposes.

ML-Algorithms-from-scratch

This repo contains codes for popular Machine Learning Algorithms written using Numpy. These tend to be very useful to understand each algorithm in detail as well as for interview purposes.

Below are the algorithms and key details:-

1. Decision Tree: It is a Supervised Algorithm
2. Linear & Logistic Regression: It is a Supervised Algorithm
3. Neural Networks: It is a Supervised Algorithm
4. Kmeans Clustering: It is an Unsupervised Algorithm

Apart from ML algorithms, it also contains numpy code for below:-

1. Evaluation and Validation: Confusion Matrix, ROC AUC, KFOLD
2. Probability and Statistics
3. Practice ML coding Questions.