To guide individuals through a structured 100-day machine learning coding challenge.
This repository serves as a daily log for a 100-day machine learning coding challenge, featuring implementations of core algorithms like linear and logistic regression, and K-Nearest Neighbors. Each day includes accessible Python code examples found in files such as `Code/Day X_*.md`, accompanying datasets from the `datasets` folder, and explanatory infographics in `Info-graphs/Day X.jpg`.
To guide individuals through a structured 100-day machine learning coding challenge.
Aspiring machine learning engineers and data scientists looking for a guided, daily coding curriculum should use this.
100 Days of Machine Learning Coding as proposed by Siraj Raval
Get the datasets from here
Check out the code from here.
Check out the code from here.
Check out the code from here.
