Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.
- Updated
Oct 31, 2019 - HTML
Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.
🔍 | 📈 | Life / Health Insurance Fraud Detection | 📋 | (Codeshahstra Round 1 Hackathon)
Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Uncover key factors driving churn and gain valuable insights into customer behavior with interactive Power BI visualizations. Empower your decision-making process with data-driven strategies and improve customer retention.
Data Science project using decision tree classifier
This repository classifies mushrooms as poisonous or edible using various machine learning algorithms
This System predicts general diseases that can turn into fatal diseases.
Predicting Hepatocellular Carcinoma through Supervised Machine Learning
DesicionTreeClassifire with python and some tools like numpy and pandas
Assignments on ML using Python.........
Context: Customer behavior prediction to retain customers
In this analysis, the credit risk dataset consisting of 32851 loan records to determine how best to predict whether or not a loan applicant will repay.
This project aims to study the influence factors of international students' mobility with the case of international students from B&R countries studying in China.
A web app that assists doctors in prescribing right medicine to patients in order to avoid drug side effects
A Python-based web application that leverages the Decision Tree classification algorithm to recommend companies based on user-defined criteria. Built using the Django framework, the app processes alumni data from SMK Gondang to provide personalized job suggestions for users, aiding career decision-making through data-driven insights.
A library of implementations in the 'iads' directory, plus Jupyter notebooks for testing
Genre Identification task along with Text Analytics with Multi-Class and Imbalanced Learning on Gutenberg Corpus
Build an algorithm to best identify potential donors of CharityML
A carpooling service which matches people on the basis of their interests, and personality types.
A binary classification model, inspired by the "Titanic" Kaggle Challenge. Predicts whether or not a given passenger will survive, based on personal characteristics such as age, gender, and how much money their ticket cost.
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