Program Highlights:

• Learn Python and R Programming languages

• Learn Machine Learning (Decision Tree, Random Forest, SVM, Linear Model, etc.)

• Learn Deep Learning (CNN, RNN, LSTM, GAN, Auto-encoders, etc.)

• Basics of Statistics and Exploratory Data Analysis (EDA)

• Optimization Techniques (Random Algorithms, Genetic Algorithms)

• Hands-on practice on Image Processing, Natural Language Processing (NLP), Blockchain, Internet of Things (IoT), Web Development (DJango, JavaScript, NodeJS, React),  Cloud Services, and Time Series.

• 2-3 major projects and 5-6 minor projects.

• Learn how to write research papers and patents.

• Machine Learning competitions on www.kaggle.com (Top rankers will be awarded prizes)

• Resource persons are from Thapar, Top Institutions and Industry.