Day 1: 

Foundations and Supervised Learning

9Icebreaker and Workshop Overview

Ice breaker session & Introduction to the workshop objectives and structure

Setting up tools: Python, Jupyter, key libraries (Pandas, Scikit-learn, Matplotlib)

Crash Course on Machine Learning Concepts

What is Machine Learning?

Key Types: Supervised, Unsupervised, Reinforcement

Applications across industries

ML Pipeline: Data → Model → Validation → Deployment

Hands-on:

Set up a sample dataset (e.g., Titanic dataset) and explore it using Python (Pandas,

Matplotlib).

Supervised Learning - Regression

Concepts: Linear Regression, key assumptions, evaluation metrics (R-squared, MSE)

Hands-on:

Build a Linear Regression model.

Preprocess data (handling missing values, scaling).

Evaluate and interpret results.

Supervised Learning - Classification

Concepts:

Hands-on:

Introduction to classification, Logistic Regression.

Confusion matrix, Precision, Recall, F1-score.○

Implement Logistic Regression.

Optimize thresholds and analyze results.

Enhancing Models

Regularization: Ridge, Lasso

Train-Test Split and Cross-Validation

Hands-on:

Implement Ridge and Lasso Regression.

Use cross-validation for better model evaluation.

Day 2: 

Advanced Topics and Applications

Recap and Q&A

Review Day 1 concepts.

Clarify doubts or challenges from previous sessions.

Tree-based Models

Concepts:

Hands-on:

Decision Trees and Random Forests.

Avoiding overfitting with hyperparameter tuning.

Build a Decision Tree and Random Forest.

Cont…of Tree-based Models

Unsupervised Learning

Concepts:

K-Means Clustering.

Evaluating Clusters (Silhouette Score).

Hands-on:

Perform clustering on a dataset (e.g., Customer Segmentation).

Visualize clusters and evaluate performance.

Cont…of Unsupervised Learning

Real-world Case Study

Work on an interesting & practical end-to-end project:

Data Cleaning and Preprocessing

Exploratory Data Analysis

Model Building and Evaluation

**NOTE: LAPTOP IS MANDATORY, SINCE HANDS-ON SESSIONS NEEDS PROGRAMMING