Hands-on training program for learning Applied Data Science and Machine Learning step by step.
- Complete the environment setup in
SETUP.md. - Open the notebook and run it top to bottom.
applied_ds_ml/
README.md
SETUP.md
requirements.txt
notebooks/
day_01_data_science_lifecycle_demo.ipynb
slides/
SECTION_01_AI_WORLD_AND_DATA_SCIENCE.md
SECTION_02_DATA_SCIENCE_LIFECYCLE_AND_PROJECT_FLOW.md
SECTION_03..06 + PDFs
One notebook covering the full Data Science lifecycle:
notebooks/day_01_data_science_lifecycle_demo.ipynb
Lifecycle flow in the notebook:
- Problem Understanding
- Data Collection
- Data Understanding
- Data Cleaning
- Exploratory Data Analysis
- Statistics
- Visualization
- Feature Preparation
- Communication and Decision
- Day 2: Predicting numbers from data
- Day 3: Predicting categories from data
- Day 4: Improving models and finding groups
- Day 5: Neural networks and Generative AI