Thorough implementation of various Machine Learning algorithms and analysis on sample datasets.
ML algorithms:
- Supervised Learning
- Regression
- Linear Regression
- Ridge Regression
- Classification
- Logistic Regression
- Support Vector Machine
- Regression
- Unsupervised Learning
- Dimensionality Reduction
- Principal Component Analysis
- Clustering
- K-means Clustering
- Spectral Clustering
- Dimensionality Reduction