arafatro/IntroToDS
The "IntroToDS" repository, maintained by Arafat Md Easin, is a comprehensive resource for an Introduction to Data Science Practice.
This is a comprehensive resource that guides you through the process of taking raw data, preparing it for analysis, building machine learning models, and evaluating their performance. You'll learn how to transform datasets into actionable insights and predictive tools. It is ideal for students or aspiring data scientists who want to gain practical skills in the field.
Use this if you are a student or beginner looking for a structured, hands-on learning path to become proficient in data science practices, from data cleaning to model deployment.
Not ideal if you are an experienced data scientist seeking advanced research topics or a quick reference for a very specific, niche data science algorithm.
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Jupyter Notebook
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Last pushed
Mar 09, 2026
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