Supervised Learning Session 📘

This repository contains materials from a supervised learning session conducted for club learners.
It covers both regression and classification techniques with hands-on practice, datasets, and reference slides.

📂 Repository Structure

• assignment/
  Contains a supervised learning dataset.
  👉 Learners are expected to apply the concepts covered in the session on this dataset.

• practice/
  Contains two Jupyter notebooks with FIXME placeholders that were corrected live during the session:

  • Regression_FIXME.ipynb → Linear Regression
  • Classification_FIXME.ipynb → Logistic Regression, Decision Trees, and SVM

• solution/
  Final corrected versions of the practice notebooks:

  • Regression.ipynb
  • Classification.ipynb

• datasets/
  Datasets used in practice notebooks:

  • 50_Startups.csv → Regression
  • breast_cancer.csv → Classification

• slides/
  A PDF slide deck covering:

  • Basic ML terminology
  • Flow of a Machine Learning pipeline
  • Regression in supervised learning

🚀 How to Use

1. Clone this repository:

   git clone <your-repo-url>
   cd <repo-name>