A web based application to predict whether a patient is likely to get stroke based on the input parameters like gender, age, various diseases, and smoking status. Each row in the data provides relevant information about the patient.
Serving a keras model (neural networks) in a website with the python Django-REST framework.
To understand and predict how the student's performance (test scores) is affected by the other va...
Unifying all code detailing learned ML concepts for easy reuse.
This project focuses on the early diagnosis of diabetes using various machine learning models. It...
Predicting Heart Disease with ML 🏥🤖 Machine learning model to predict heart disease using clinic...
Complete Roadmap For Data Science
The aim is to build a predictive model and find out the sales of each product at a particular sto...
The CO2 Oracle project uses machine learning and AI to analyze and predict CO2 emissions for envi...
Complete evaluation of traditional "SK-learn like" machine learning models for post-operative com...
https://docs.djangoproject.com/en/2.1/intro/tutorial01/
A constantly updated python machine learning cheatsheet
Robust credit risk model that go beyond traditional credit scoring methods in banks
ECommerce site built from scratch using the Django framework.