Recognition of handwritten digits and also data compression projects done. (*Note: digit recognition project has some modification compared to the orginal course project code in order to improve performance) Concepts: This repository contains mini projects on:
- Linear Regression
- Logistic Regression
- Neural Network
- Backpropagation Algorithm
- Understand handwritten numbers from 0-9
- Error Analysis and Learning Curve
- Precision/Recall and F1 score
- SVM (linear and Gaussian Kernel)
- Spam Classifier
- k-means
- Principal Component Analysis
- Image and Data compression
- application of PCA to dimension reduction to help to visualize data and make supervised learning algorithm run faster.
- Anomaly Detection along with Gaussian Distribution
- Multivariate Gaussian Distribution
- Recommender Systems
- Collaborative Filtering