Smart disease prediction system made using traditional machine learning algorithms and to create an user interface using streamlit. 🚀

几种常见的特征分箱与可视化的方法

Code for my Medium article: "How you can quickly deploy your ML models with FastAPI"

Disease Prediction Machine learning model

ID3 implementation and improved ID3 implementation

the second algorithm I've ever "written."

A visualization of Decision Tree and Random Forest algorithms using Python's Manim library

Real-Life Example for Machine Learning Projects (Python3) -Part-2

All details in README.md

Predict diabetes using machine learning models. Experiment with logistic regression, decision trees, and random forests to achieve accurate predictions based on health indicators. Complete lifecycle of ML project included.

Automated ML pipeline for Iris dataset classification using Decision Tree. Features PCA dimensionality reduction and standard scaling.

Django and Machine learning based web application that helps you predict if you're diabetic or not.