Scratch_Algos

Minimalistic implementations of different ML algorithms from scratch.

Few of the implementations are:

1. SVM Classifier with Gradient Descent for optimisation

2. Self Organising Maps

3. Simple Logistic Regression with Newton's Method for optimisation

4. K-Means Clustering

5. Principal Component Analysis

6. Naive Bayes Spam Classifier

7. Gradient Descent for Linear Regression

8. Latent Dirichlet Allocation