Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.

A machine learning web application use to predict chances of heart disease, built with FLASK and deployed on Heroku.

Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.

Predict Diabetes using Machine Learning and deployment of machine learning model using Django.

Predicting Hepatocellular Carcinoma through Supervised Machine Learning

Flask backend application for generating output of pickle ML model

In this project we compute the susceptibility map o an area on the south of Como lake thanks to the Random Forest algorithm

A Microsoft Azure Web App project named "Covid 19 Predictor" using Machine learning Model (Random Forest Classifier Model ) that helps the user to identify whether someone is showing positive Covid symptoms or not by simply inputting certain values like oxygen level , breath rate , age, Vaccination done or not etc. with the help of kaggle database.

Context: Customer behavior prediction to retain customers

This is an End-to-End Data Science project which can predict whether a person has diabetes, or not, based on information about the patient such as blood pressure, body mass index (BMI), age, etc.

Proyectos de Machine Learning con SPSS Modeler

Finding Donors with Machine Learning ( Support Vector Machine, Gradient Boosting Classifier, Random Forest Classifier )

Genre Identification task along with Text Analytics with Multi-Class and Imbalanced Learning on Gutenberg Corpus

Data Science & Machine Learning Course by SkillFactory

Build an algorithm to best identify potential donors of CharityML

Temporal clustering to group suburban areas; random forest to reverse engineer driving factors for each cluster

In an era marked by global security challenges, the "TAFRAS" emerges as a cutting-edge solution to tackle the ever-evolving threat of terrorism. The project is grounded in the urgent need for predictive systems that can anticipate, assess, and mitigate potential terrorist activities.

Based on the powerful econometrics and statistical background and rich data science resources of School of Economics (SOE) and Wang Yanan Institute for Studies in Economics (WISE), Xiamen University, WISER CLUB is a data science mutual aid learning organization jointly organized by SOE and WISE graduate students and undergraduate students.