Smart disease prediction system made using traditional machine learning algorithms and to create an user interface using streamlit. 🚀
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Updated
Mar 19, 2021 - Python
Smart disease prediction system made using traditional machine learning algorithms and to create an user interface using streamlit. 🚀
Automated ML pipeline for Iris dataset classification using Decision Tree. Features PCA dimensionality reduction and standard scaling.
A classification model using "Fake news classification" dataset by Bhavik Jikadara for classifying fake news. Contributors: Elaha Ahmadi, Herman Scheele & Theodor Jaarvik
A cybersecurity project, aimed to make compliance checks on remote devices easier to mitigate the threat imposed by persistence techniques in the digital world.
ID3 implementation and improved ID3 implementation
Code for my Medium article: "How you can quickly deploy your ML models with FastAPI"
Real-Life Example for Machine Learning Projects (Python3) -Part-2
Disease Prediction Machine learning model
A machine-learning-based disease prediction app that analyzes symptoms to provide accurate, timely health insights for proactive care.
All details in README.md
the second algorithm I've ever "written."
A visualization of Decision Tree and Random Forest algorithms using Python's Manim library
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.
Django and Machine learning based web application that helps you predict if you're diabetic or not.
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