Machine Learning Algorithms implemented from scrath with numpy.

Machine Learning Algorithms implemented from scrath with numpy.

1. Clone the repository git clone https://github.com/raulorteg/MLfromScrath
2. Create virtual environment:

• Update pip python -m pip install pip --upgrade
• Install virtualenv using pip python -m pip install virtualenv
• Create Virtual environment virtualenv MLfromScrath
• Activate Virtual environment (Mac OS/Linux: source MLfromScrath/bin/activate, Windows: MLfromScrath\Scripts\activate)
• (Note: to deactivate environemt run deactivate)

3. Install requirements on the Virtual environment python -m pip install -r requirements.txt

See the examples classifying_knearest.py, clustering_kmeans.py

K-means clustering visualization (10000 2-dimensional samples, 10 clusters)

• K-means clustering
• K-nearest neighbors classifier