This repository contains materials and projects related to the 18-week course at The Hague University. All content is primarily in Jupyter Notebook format.
- Week 01 - Introduction to Python
- Week 02 - Intermediate Python
- Week 03 - Data manipulation & Preparation
- Week 04 - Python for Data Science & Data Visualization
- Week 05 - Introduction to Supervised Learning
- Week 07 - Unsupervised Learning
- Week 08 - Ethics Guidelines for Trustworthy AI
- Week 09 - Python for Data Science & Supervised Learning
- Week 10 - Preprocessing, Feature engineering, Model validation
- Week 11 - Machine Learning with Tree-Based Models
- Week 13 - Gradient Descent & Differential Calculus
- Week 14 - Feedforward Neural Networks
- Week 15 - Computer Vision & Hyperparameter tuning
- Week 16 - Transfer Learning
- Week 17 - RNNs, transformers
- Clone the repository:
git clone https://github.com/nurtanbilmis/hhs-datascience-reschooling.git - Navigate to the directory:
cd hhs-datascience-reschooling - Open Jupyter Notebook:
jupyter notebook
If you have any feedback or suggestions, please open an issue or submit a pull request!
This course and its materials were made possible by the dedicated faculty and staff at The Hague University. Special thanks to Vikram Mark Radhakrishnan and all the contributors who made this learning experience enriching.