100-Days-Of-ML-Code and 100-Days-of-Code-Data-Science
These two tools are competitors, as both repositories provide comprehensive, structured coding challenges for learning machine learning or data science from scratch over a 100-day period.
About 100-Days-Of-ML-Code
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
This project offers a structured path to learn and practice fundamental machine learning concepts and algorithms. It provides practical code examples and explanations for various techniques, from data preprocessing to linear regression, classification, and basic deep learning. It's designed for individuals aspiring to become machine learning practitioners or data scientists who want hands-on experience.
About 100-Days-of-Code-Data-Science
mankarsnehal/100-Days-of-Code-Data-Science
Starting a 100 Days Code Challenge for Learning Data Science from Scratch
This structured program guides you through learning data science and machine learning from the ground up over 100 days. It provides a daily curriculum, taking you from Python basics and data manipulation to advanced machine learning and deep learning concepts. It's designed for individuals looking for a self-paced, organized learning path to become proficient in data science techniques.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work