This repository contains all the slides/notes used during the Summer School conducted at IIT Madras. The sessions were jointly conducted by Analytics Club and CVI, IIT Madras.
To access the session recordings, here's the link to the YouTube playlist: Summer School 2022.
To join the Microsoft Teams, use the Invite Link or use code 63fh2y3.
| Task | Description | Link | Deadline |
|---|---|---|---|
| 1 | Data Visualization Challenge | Task 1 | July 11th 2022, 11:59 PM |
| 2 | Data Science Hackathon | Task 2, Kaggle | July 22nd 2022, 11:59 PM |
| 3 | Deep Learning Challenge | Task 3 | July 31st 2022, 11:59 PM |
| Session | Date | Topic | Contents | Session Notes/Slides | Recording |
|---|---|---|---|---|---|
| 1 | July 6th 2022 | Intro to Python, Numpy and Pandas | Python, GiT, Numpy, Pandas | Session 1 | Recording |
| 2 | July 8th 2022 | Visualization using Matplotlib, Intro to Machine Learning | Matplotlib, Linear/Logistic/Polynomial Regression | Session 2 | Recording |
| 3 | July 11th 2022 | Understanding Machine Learning Models (Part 1) | KNNs, SVMs, Naive Bayes, Performance Metrics | Session 3 | Recording |
| 4 | July 13th 2022 | Understanding Machine Learning Models (Part 2) | Tree-based Models, Ensemble Methods, Recommendation Systems | Session 4 | Recording |
| 5 | July 15th 2022 | Introduction to Deep Learning (Part 1) | Neural Networks, McCulloch Pitts Neuron, Thresholding Logic, Perceptron Learning, MLP | Session 5 | Recording |
| 6 | July 18th 2022 | Introduction to Deep Learning (Part 2) | In-depth tutorial on Back-Propagation and Gradient Descent | Session 6 | Recording |
| 7 | July 20th 2022 | Strategies for training Neural Nets & Intro to OpenCV | Regularisation, Normalization, Other types of Regression, OpenCV, Convolutional Neural Networks | Session 7 | Recording |
| 8 | July 22nd 2022 | State-of-the-art Models, Intro to NLP and RL | AlexNet, VGGNet, GoogLeNet, ResNet, NLP Models | Session 8 | Recording |