Resources

Week 0: Installation Guides

Python 3

• Windows: How to Install Python 3 on Windows
• Ubuntu: How to Install Python 3 on Ubuntu
• MacOS: How to Install Python 3 on MacOS

Anaconda

• Windows: How to Install Anaconda on Windows
• Ubuntu: How to Install Anaconda on Ubuntu
• MacOS: How to Install Anaconda on MacOS

---

Week 1: Getting Started Tutorials (Mandatory)

Git and GitHub

• Beginner-friendly video: Git & GitHub Tutorial
• Git Cheat Sheet: GitHub Cheat Sheet
• GitHub Desktop Tutorial:
  • GitHub Desktop Overview
  • How to use GitHub Desktop

Markdown

• Short Introduction Video: Markdown for Beginners (8-min video)
• Markdown Cheat Sheet: Markdown Guide Cheat Sheet

Jupyter Notebooks

• Quick Introduction: Real Python Jupyter Notebook Guide

Python and its Libraries

• Python:

  • Python Tutorial Playlist (Videos 2-10)
  • Python Basics
  • Official Python Documentation: Python Docs

• NumPy:

  • NumPy Quickstart Guide
  • NumPy Tutorial by W3Schools
  • CS231n Python and NumPy Tutorial

• Pandas:

  • Official Pandas Documentation: Pandas Docs
  • Pandas Tutorial by W3Schools

• Matplotlib:

  • Official Matplotlib Documentation: Matplotlib Docs
  • Matplotlib Tutorial by W3Schools

Detailed Courses (Recommended)

Textual Resources

• W3Schools - Sections on Python, NumPy, Pandas, Scikit-learn, and Matplotlib
• GeeksforGeeks - Sections on Python, NumPy, Pandas, Scikit-learn, and Matplotlib

Video Resources

• Python Basics
• NumPy Basics
• Pandas Basics
• Python, NumPy, and Pandas
• Scikit-learn Basics
• Matplotlib Basics

Session Link:

https://drive.google.com/file/d/1GWDBJ56N2etZZhQhrXXRs5LxGdjYxbXQ/view?usp=drivesdk

Assignment 1:

• Complete 10-15 questions manipulating datasets and working with the libraries listed above.

---

Week 2: Machine Learning Problems - Regression and Classification

Regression

• Linear Regression using Neural Networks
• Linear Regression using NumPy
• Linear Regression using Scikit-learn
• Regression Analysis in Machine Learning

Classification

• Artificial Neural Network Implementation using NumPy

PyTorch Basics

• PyTorch Basics in 4 Minutes
• PyTorch Tutorial - Develop Deep Learning Models

Assignment 2:

• Implement a PyTorch classifier on a basic dataset.

---

Week 3: Active Learning Methodologies

Research Papers on Query Strategies

• Active Learning: TR1648
• Active Learning Paper: 2203.13450

Assignment 3:

• Implement Active Learning using the query strategies discussed in the papers and evaluate the performance.