• Free lesson 1

  Welcome to ODCoders

Step-by-step syllabus

1. 1

   Python for data and machine learning

   2 Weeks
2. 2

   Linear algebra and probability foundations

   2 Weeks
3. 3

   Data preprocessing and feature engineering

   3 Weeks
4. 4

   Supervised learning algorithms

   3 Weeks
5. 5

   Unsupervised learning and clustering

   2 Weeks
6. 6

   Model evaluation and tuning techniques

   2 Weeks
7. 7

   Deep learning with neural networks

   4 Weeks
8. 8

   Computer vision fundamentals

   3 Weeks
9. 9

   NLP basics and text classification

   3 Weeks
10. 10

    MLOps introduction and model deployment

    2 Weeks
11. 11

    Industry mini projects with case studies

    3 Weeks