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