Thorough implementation of various Machine Learning algorithms and analysis on sample datasets.

ML algorithms:

1. Supervised Learning
   • Regression
     • Linear Regression
     • Ridge Regression
   • Classification
     • Logistic Regression
     • Support Vector Machine
2. Unsupervised Learning
   • Dimensionality Reduction
     • Principal Component Analysis
   • Clustering
     • K-means Clustering
     • Spectral Clustering