A structured machine learning experimentation lab covering algorithms, evaluation techniques, and applied ML concepts.
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Updated
Mar 7, 2026 - Jupyter Notebook
A structured machine learning experimentation lab covering algorithms, evaluation techniques, and applied ML concepts.
This repository contains an exercise on regression metrics using an income dataset to predict happiness. The exercise includes data preprocessing, model training, evaluation, and visualization.
This is my 30 day series where I will daily upload my work to built my habit. Also it will revise the knowledge. This repo will be more self reflection of the topic knowledge not a normal learning resource.
In this repository different AI/ML algorithms are implemented by using PyTorch framework for learning purpose.
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