MLEveryday/100-Days-Of-ML-Code
A 100-day machine learning curriculum with code implementations and infographics covering regression, classification, and clustering algorithms.

This repository contains a Chinese translation of a 100-day machine learning learning challenge. It provides Jupyter notebooks and visual infographics for topics including data preprocessing, linear and logistic regression, k-NN, SVM, decision trees, random forests, k-means clustering, and hierarchical clustering. The curriculum uses TensorFlow and Keras to teach core machine learning concepts from basics through advanced techniques.