Our Timetable

Schedule Plan

Phase 1

Starting From 1st of JUNE

Ends on 18th JUNE

Duration: 2-3 weeks

Mode of teaching: video lectures

Phase 2

Starting From 19th of JUNE

Ends on 30th July

Duration: 6 Weeks

Project Development

Total Duration

9 Weeks

Workshop Introduction and Python and Data Structures

Day 1

Data Preprocessing & Visualizations.

Day 2

Introduction to Machine Learning & Linear Regression.

Day 3

Classification Algorithms - Decision Tree, Naive Bayes, KNN, SVM

Day 4

(Semi and) Unsupervised Learning.

Day 5

Logistic Regression, Neural Networks, Deep NN

Day 6

Convolutional Neural Networks

Day 7

Recurrent Neural Networks

Day 8

Network Science & Graph Representation Learning

Day 9

Optimization Techniques & Explainability of Machine Learning

Day 10

Natural Language Processing

21.06.2021

Attention & Transformer

BERT, Hugging Face, GPT

Classification

Generation

Code Mixed/Indian Languages

Computer Vision

22.06.2021

Augmentation & GANs

Classification

Segmentation

Object Detection

Siamese Networks

Graphs

23.06.2021

Introduction to Network Analysis

Network Augmentation

Introduction to GRL

GRL - Hands-on

Dynamic Graphh Embeddings

Advanced Deep Learning

24.06.2021

LIME

Federated Machine Learning

Multimodal Fusion

Transfer & Multi-task

How to train a Neural Network

Knowledge Graphs

25.06.2021

Knowledge Graphs & Their Types

Knowledge Graphs Construction Tools & Techniques

Knowledge Graphs - Application

Knowledge Graphs Embeddings - Hands-on

Project Developemnt Phase

19th of June, 2021 to 30th of July,2021

Content Rich Video + Live Lectures

In-depth video + live lecture series featuring ML & DL experts.

Expert Sessions

Head start introduction through a tutorial style exposition of concepts.

Project Development Support

Practical hands-on: Emphasize on project development.

Internship

This is Summer-Workshop-cum-Internship.Learning 100%

Doubt Solving Sessions

Get your doubts resolved by mentors and through weekly doubt sessions.