Kritimbist/365-Days-of-GitHub-Challenge-AI-Machine-learning
This repository is part of my 365 Days Challenge: AI × Machine learning, where I combine my passion for Machine Learning 🤖 to learn, build, and document projects every single day for one year.
What's novel
This repository is part of my 365 Days Challenge: AI × Machine learning, where I combine my passion for Machine Learning 🤖 to learn, build, and document projects every single day for one year.
Code Analysis
0 files read · 4 roundsA collection of simple Python scripts documenting a 365-day learning challenge covering data preprocessing, numpy basics, and basic machine learning algorithms.
Strengths
The project has excellent educational structure with clear categorization by topic (Preprocessing, Numpy, Scikit-learn) and a comprehensive README that accurately describes the daily learning goals. It covers the full ML pipeline from raw data to model application.
Weaknesses
Lacks any error handling, unit tests, or modular architecture typical of production code. The implementation is likely basic tutorials without novel algorithms or robust engineering practices.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
134
Contributors
1
Files
42
Active weeks
14
Repository
Language
Python
Stars
1
Forks
0
License
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