ML Foundations: A 3-Day Journey into Machine Learning 🚀

Welcome to the repository for the ML Foundations: A 3-Day Journey into Machine Learning series! This 3-day workshop is designed to take you from the basics of Machine Learning to advanced concepts, featuring hands-on sessions and practical implementations.

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📅 Event Schedule

Day 1: Getting Started with Machine Learning 101

• Date: 30th November
• Topic: Introduction to ML concepts, types, and workflows.
• Key Learnings:
  • Fundamentals of Machine Learning
  • Overfitting, underfitting, and ML types (supervised, unsupervised, reinforcement learning).
  • ML Workflow: From data preprocessing to model evaluation.

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Day 2: Hands-On with Scikit-Learn and Regression Models

• Date: 1st December
• Topic: Practical implementation of regression techniques using Python libraries.
• Key Learnings:
  • Introduction to Python libraries: Scikit-Learn, NumPy, and Pandas.
  • Implementation of linear and logistic regression.

📁 Project Code: Available in the Day2 - ProjectCode/ directory.

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Day 3: Exploring Decision Trees with Scikit-Learn and EDA

• Date: 2nd December
• Topic: Advanced ML techniques with decision trees and data preprocessing.
• Key Learnings:
  • Hands-on implementation of decision trees using Scikit-Learn.
  • Exploratory Data Analysis (EDA) for data handling and preprocessing.

📁 Project Code: Available in the Day3 - ProjectCode/ directory.

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📂 Repository Structure

ML-Foundations/
├── Day2 - ProjectCode/       # Project files for Day 2
├── Day3 - ProjectCode/       # Project files for Day 3
├── LICENSE                   # License information
├── PPT.pdf                   # Workshop presentation slides
└── README.md                 # This README file

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📹 Workshop Recording

Catch up on the complete workshop here:

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🎯 Objectives

By the end of this workshop series, participants will:

• Understand the fundamental concepts of Machine Learning.
• Gain practical experience with popular Python libraries like Scikit-Learn, NumPy, and Pandas.
• Learn to build and evaluate ML models including regression and decision trees.
• Enhance data handling skills using Exploratory Data Analysis (EDA).

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💻 How to Use This Repository

1. Clone the Repository:

   git clone https://github.com/GDG-OnCampusTMSL/ML-Foundations.git

2. Navigate to the respective directories (Day2 - ProjectCode/ or Day3 - ProjectCode/) for project files.
3. Open the PPT.pdf for reference to the presentation slides.
4. Modify and run the code files to explore the implementations further.

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📧 Contact

For any queries or feedback, feel free to reach out:

• GDG On-Campus TMSL
• Email: gdsctechnomainsaltlake@gmail.com
• Website: https://gdg.community.dev/gdg-on-campus-techno-main-salt-lake-kolkata-india/

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🚀 Kickstart your journey into Machine Learning and build real-world problem-solving skills!