mummanajagadeesh / summer-school-2024

This repository contains all resources used during the summer school sessions

AI Club Summer School 2024

Welcome to the official repository for the AI Club's Summer School 2024! This repository contains resources, materials, and information for all the sessions conducted during the summer school program.

Table of Contents

• Overview
• Schedule
• Resources
• Contact

Overview

The AI Club's Summer School 2024 is designed to provide participants with a comprehensive understanding of Artificial Intelligence (AI) and its various subfields. The sessions cover fundamental concepts, practical applications, and engaging assignments to reinforce learning.

Schedule

The summer school is organized into nine sessions:

1. Session 1: Intro to Python and OOP
2. Session 2: Data Analysis and Preprocessing
3. Session 3: Regression Models
4. Session 4: Classification Models
5. Session 5: Decision Models and Ensemble Methods
6. Session 6: Optimizers and Regularization
7. Session 7: Intro to Pytorch and Deep Learning
8. Session 8: Computer Vision
9. Session 9: Natural Language Processing

For detailed information on the schedule and session timings, please refer to the schedule.md file.

Resources

Session 1: Intro to Python and OOP

• Slides: Intro to Python
• Video Recording: Session 1 Video
• Google Colab Notebooks

Session 2: Data Analysis and Preprocessing

• Video Recording: Session 2 Video
• Google Colab Notebooks

Session 3: Regression Models

• Slides: Linear, Polynomial & Logistic Regression
• Video Recording: Session 3 Video
• Google Colab Notebooks

Session 4: Classification Models

• Slides: KNN, SVM, Naive Bayes
• Video Recording: Session 4 Video
• Google Colab Notebooks

Session 5: Decision Models and Ensemble Methods

• Slides: Decision Trees, Random Forest, AdaBOOST, XGBOOST
• Video Recording: Session 5 Video
• Google Colab Notebooks

Session 6: Optimizers and Regularization

• Slides: Lasso, Ridge Regularization, Adam, Momentum, RMSProp
• Video Recording: Session 6 Video
• Google Colab Notebooks

Session 7: Intro to Pytorch and Deep Learning

• Slides: Deep Learning, Neural Networks, Pytorch, Convolutional Neural Networks
• Video Recording: Session 7 Video
• Google Colab Notebooks

Session 8: Computer Vision

• Slides: VGG-19, ResNet
• Video Recording: Session 8 Video
• Google Colab Notebooks

Session 9: Natural Language Processing

• Slides: Text Preprocessing, Word Embeddings(TF-IDF, Word2Vec, GloVe), RNN
• Video Recording: Session 9 Video
• Google Colab Notebooks

Contributing

We welcome contributions from the community! If you have additional resources, corrections, or improvements, please submit a pull request or open an issue.

Contact

For any questions or further information, please contact us at [email protected].