Promote Sign in Sign up

Repository

feb-ds-ml-bootcamp-2026

Data Science and Machine Learning Bootcamp. (Feb - 2026)

goobolabs
Repository
#
Title
1
Introduction to Machine Learning
2
Revision — Introduction to Machine Learning
3
Assignment One — Introduction to Machine Learning

Specs

  • #Title
  • 1Introduction to Machine Learning
  • 2Revision — Introduction to Machine Learning
  • 3Assignment One — Introduction to Machine Learning
  • 4Lesson Two — Data Foundations for Machine Learning
  • 5Assignment Two — Data Foundations for Machine Learning
  • 6How to Submit Assignments
  • 7Lesson Three — Data Processing In Action (Zoom Lesson)
  • 8Assignment Three with Revision — Data Processing In Action
  • 9Lesson Four — Regression Part One
  • 10Lesson Four — Regression Part Two
  • 11Regression Revision
  • 12Assignment Four — Regression
  • 13Lesson Five — Classification with Assignment
  • 14Classification In Action
  • 15Assignment Five — Classification In Action
  • 16Lesson Six — Clustering
  • 17Clustering In Action
  • 18Clustering Revision
  • 19Assignment Six — Clustering
  • 20Lesson Seven — Deployment
  • 21Final Project

README

📊 DS-ML Bootcamp

Welcome to the Data Science & Machine Learning Bootcamp repository! 🚀

This repo contains all the lessons, code examples, and resources used during our one-month intensive bootcamp.

The program is designed to take participants from zero to hands-on projects, covering the full ML workflow:

  1. Collect Data
  2. Preprocess Data
  3. Split into Train/Test
  4. Choose Model
  5. Train Model
  6. Evaluate Model
  7. Deploy Model

🎯 Goal

Our mission is simple:
Move from unreal to real, from unimaginable to imaginable — by practicing the entire DS/ML journey, step by step, in just one month.

🎥 Course Videos

All lessons and assignments are available as unlisted videos on the Goobo Labs YouTube Channel.
Follow them in order for the full learning experience. 🚀

# Title Watch
1 Introduction to Machine Learning ▶️ Watch
2 Revision — Introduction to Machine Learning ▶️ Watch
3 Assignment One — Introduction to Machine Learning 📝 Assignment
4 Lesson Two — Data Foundations for Machine Learning ▶️ Watch
5 Assignment Two — Data Foundations for Machine Learning 📝 Assignment
6 How to Submit Assignments ▶️ Watch
7 Lesson Three — Data Processing In Action (Zoom Lesson) ▶️ Watch
8 Assignment Three with Revision — Data Processing In Action ▶️ Watch
9 Lesson Four — Regression Part One ▶️ Watch
10 Lesson Four — Regression Part Two ▶️ Watch
11 Regression Revision ▶️ Watch
12 Assignment Four — Regression 📝 Assignment
13 Lesson Five — Classification with Assignment ▶️ Watch
14 Classification In Action ▶️ Watch
15 Assignment Five — Classification In Action ▶️ Watch
16 Lesson Six — Clustering ▶️ Watch
17 Clustering In Action ▶️ Watch
18 Clustering Revision ▶️ Watch
19 Assignment Six — Clustering 📝 Assignment
20 Lesson Seven — Deployment ▶️ Watch
21 Final Project 📝 Project

📘 Tip:
You can clone the repo, open Jupyter/VS Code, and follow along while watching each lesson for hands-on learning.

🙌 Contributors

This bootcamp is proudly hosted by:

Together, our goal is to empower the next generation of data scientists.

This bootcamp is fully sponsored by:

📄 License

Copyright © 2026 Goobo Labs. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

CC BY-NC-SA 4.0

You are free to share and adapt this material for non-commercial purposes, as long as you give appropriate credit and distribute your contributions under the same license. See LICENSE for the full legal text.

⭐ If you find this useful, don’t forget to star the repo!