Courses

Machine Learning

Computer Vision

Optimization Algorithms

Artificial Intelligence

Inferential Statistics

Multivariate Statistics

Time Series and Survival Analysis

Enabling Technologies for Big Data Computation (MySQL, PySpark, Neo4j)

Supply Chain Management

Optimization for Machine Learning

Linear Algebra

Data Structures and Algorithms

Programming for Data Science(R,Python)

Probability and Stochastic Processes

Common Projects

Univariate and Multivariate Regression using SciKit-Learn

Classification of MNIST and Fashion MNIST datasets using Multilayer Perceptron

Image Size Reduction using PCA

Twitter Sentiment Analysis

Camera Calibration and Fundamental Matrix Estimation with RANSAC

Detecting Harris Corner and Matching Images

Detecting feature points using SIFT (Scale Invariant Feature Transform)

Image filtering and Hybrid Images