Machine Learning 101

This folder is the coding practices to the machine learning 101 course on courses.dutchengineer.org.

Within this course, these folders correspond to the same named modules e.g. recommendations folder fits to the recommendations module.

File Structure

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.
├── CODEOWNERS
├── README.md
├── recommendations
│   └── movie-recommendations
│       ├── ml-latest-small (This one is not attached to the repo because it is too big)
│       ├── movie_recommender.ipynb
│       └── requirements.txt
├── supervised-learning
│   ├── classification
│   │   ├── k_neighbors
│   │   └── random_forest
│   └── regression
│       ├── helper.py
│       ├── house_price.ipynb
│       ├── kc_house_data.csv
│       ├── mlruns (This folder appears when you start using mlrun)
│       └── requirements.txt
└── unsupervised-learning
    ├── anomaly-detection
    │   ├── bot_detection.ipynb
    │   ├── cs448b_ipasn.csv
    │   └── requirements.txt
    └── k-means-clustering
        ├── chemical-analysis.ipynb
        ├── chemistry-subset-clean.csv
        └── requirements.txt