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.