A Journey Into ML Algorithms

I share here some machine learning code samples, written in Julia, Python, and R. They serve general-purpose applications. Some of the main topics include, but are not restricted to:

1. Regression;
2. Classification;
3. Clustering;
4. Artificial Neural Network (MLP and CNN).

For reference, I put, inside the folder RUN-THROUGH, screenshots of algorithms being executed, which show what the outcomes of the running codes would look like.

Useful GUI tools

• visualpython.ai/
• drawdata.xyz/
• trymito.io/
• pivottable.js.org/
• gigasheet.com/
• github.com/Kanaries/pygwalker/
• github.com/ydataai/ydata-profiling/
• playground.tensorflow.org/