Week 1 :
- Introduction : Data, Use Case, Jupyter Notebook setup, pip (Day 1)
- Python Basics : Data Types, loops, condition statements, python lists, sets and dictionaries. (Day 1)
- Python : Functions, recursion, module making (Day 2)
- Numpy : Array operations and important Functions, Indexing and Slicing, Multi-Dimensional Arrays, Advance Numpy concepts (transpose, flatten, stack, split) , Linear algebra operation (matrix multiplication, eigenvectors, eigenvalues) (Day 2)
- Visualization : introduction, scatter plot, customizing plots, bar plots and histograms, pie chart, multiple plots, plotting geographic data (maps, heatmaps) (Day 3)
- Panda : DataFrame introduction, Data Manipulation with Pandas, Data Cleaning and Preprocessing (Day 4, 5 )
Expert Talk : Programming, Machine Learning, Chat-GPT, AI
Week 2 :
- Introduction to ML: Need, Use case, Examples, types (Day 6)
- Supervised vs Unsupervised Learning, Regression, KNN, Decision Trees (Day 7, 8)
- Working on a projects and some cool ideas (Day 9, 10)
- Group Project (End Deadline : End of August. Regular help will be provided till the project is finished)