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Our Learners Work at
Instructors
Learn from leading Data Science faculty and industry leaders
Dr. Gabriela Czanner
Dr. Atif Waraich
Prof. Dhiya Al-Jumeily
Prof. Paulo Lisboa
Chandrashekar Ramanathan
Debabrat Das
Prof. G. Srinivasaraghavan
Anshuman Gupta
Ankit Jain
Ujjyaini Mitra
Mirza Rahim Baig
20 Programming Languages, Tools, Libraries
Industry Projects
- Engage in collaborative projects with student-mentor interaction
- Benefit by learning in-person with Expert Mentors
- Personalized subjective feedback on your submissions to facilitate improvement
Telecom Churn
Solve the most crucial business problem for a leading telecom operator in India and southeast Asia - predicting customer churn.
Train an agent to play Tic Tac Toe
Learners will apply Q-Learning to train an RL agent to play the game of numerical Tic Tac Toe.
Classification of customer complaints
Create a solution that will help in identifying the type of complaint ticket raised by the customers of a multinational bank
Credit Card Fraud Detection
Build a machine learning model capable of detecting fraudulent transactions. Here you have to predict fraudulent credit card transactions with the help of machine learning models.
Melanoma Detection Assignment
Build a neural network from scratch in Tensorflow to identify the type of skin cancer from image.
Gesture Recognition
Make a Smart TV system which can control the TV with user’s hand gestures as the remote control
News Recommender System
Build a model to using the concepts of natural language processing and recommender systems to recommend news stories to users on a popular news platform.
Maximizing profit of cab driver using RL
Learners will use the Markov Decision Process & Q-Learning to build an RL agent that learns to choose the best request so as to maximize the total profit earned by the agent that day.
Custom Entity detection in Healthcare data
You will build a custom NER to get the list of diseases and their treatment from a medical healthcare dataset.
Eye for the Blind
Build a model that can help any visually impaired person in understanding image present before them. It is a deep learning model which can explain the content of an image in the form of speech.
Sentiment analysis based Product Recommender system
Build a sentiment analysis based product recommendation system to recommend the similar products to the users. Sentiment analysis is used to fine tune the product recommendation system.
Sales Forecasting
Predict the sales for a european pharma giant using a host of different types of variables. Apply VAR and VARMAX models to build the appropriate model
Style Transfer using GAN's
Build a Model for converting MRI images from one type (T1) into other (T2) and vice versa. CycleGAN model is used for producing T2 type MRI images given T1 type input MRI images
Machine Translation System
You will build an attention-based neural machine translation model translating from one language to another
Face Mask Detection
Create a custom object detector using the YOLO algorithm to detect the presence of face masks in the images of different people.
Student Reviews
Sondre Rennan Nesset
Budhaditya Goswami
Krishnan Sivasubramanian
K M Kadir Khan
Emmanuel Idehen
Ankit Bansal
Ankit Jain
Nishant Chalasany
Jyothi Rajesh
Ridhiman Singh
Refer someone you know and receive cash reimbursements of up to $500!*
*More details under the referral policy under Support Section