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sep-ds-ml-bootcamp-2025

Data Science and Machine Learning Bootcamp. (Sep - 2025)

goobolabs
Repository
#
Title
1
Lesson One — Introduction to Machine Learning (Zoom Lesson)
2
Revision — Introduction to Machine Learning
3
Assignment One — Introduction to Machine Learning

Specs

  • #Title
  • 1Lesson One — Introduction to Machine Learning (Zoom Lesson)
  • 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
  • 6Lesson Three — Data Processing In Action (Zoom Lesson)
  • 7Assignment Three with Revision — Data Processing In Action
  • 8Lesson Four — Regression (Zoom Lesson)
  • 9Assignment Four — Regression
  • 10Resource — Installing Anaconda
  • 11Resource — Jupyter Notebook Setup
  • 12Lesson Five — Regression In Action with Assignment
  • 13Regression In Action (Jupyter Notebook)
  • 14Lesson Six — Classification with Assignment
  • 15Assignment Six — Classification
  • 16Lesson Seven — Classification In Action
  • 17Assignment Seven — Classification In Action
  • 18Lesson Eight — Clustering
  • 19Assignment Eight — Clustering
  • 20Lesson Nine — Clustering In Action
  • 21Assignment Nine — Clustering In Action
  • 22Lesson Ten — Deployment
  • 23Final Project

README

📊 DS-ML Bootcamp

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

This repo contains all the lessons, code examples, assignments, 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 Lesson One — Introduction to Machine Learning (Zoom Lesson) ▶️ 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 ▶️ Watch
6 Lesson Three — Data Processing In Action (Zoom Lesson) ▶️ Watch
7 Assignment Three with Revision — Data Processing In Action ▶️ Watch
8 Lesson Four — Regression (Zoom Lesson) ▶️ Watch
9 Assignment Four — Regression ▶️ Watch
10 Resource — Installing Anaconda ▶️ Watch
11 Resource — Jupyter Notebook Setup ▶️ Watch
12 Lesson Five — Regression In Action with Assignment ▶️ Watch
13 Regression In Action (Jupyter Notebook) ▶️ Watch
14 Lesson Six — Classification with Assignment ▶️ Watch
15 Assignment Six — Classification 📝 Assignment
16 Lesson Seven — Classification In Action ▶️ Watch
17 Assignment Seven — Classification In Action ▶️ Watch
18 Lesson Eight — Clustering ▶️ Watch
19 Assignment Eight — Clustering 📝 Assignment
20 Lesson Nine — Clustering In Action ▶️ Watch
21 Assignment Nine — Clustering In Action 📝 Assignment
22 Lesson Ten — Deployment ▶️ Watch
23 Final Project 📝 Project

📘 Tip:
You can clone the repo, open Jupyter Notebook or 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!