NishkarshRaj/100DaysofMLCode
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
This project provides practical, step-by-step examples for common machine learning tasks, ranging from cleaning and preparing raw data to building various predictive models. It takes in datasets (like CSVs or spreadsheets) and produces trained models capable of making predictions or identifying patterns. This is ideal for aspiring data scientists and machine learning practitioners who are learning the ropes.
341 stars.
Use this if you are a student or a new practitioner looking for clear, runnable code examples to understand different machine learning algorithms and workflows.
Not ideal if you are an experienced data scientist looking for cutting-edge research implementations or a plug-and-play solution for a specific business problem.
Stars
341
Forks
167
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 16, 2026
Commits (30d)
0
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