An urban fire risk prediction model using machine learning.
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Updated
Jul 6, 2024 - Jupyter Notebook
An urban fire risk prediction model using machine learning.
Recursive Partitioning for Structural Equation Models
Predict Car Prices with Random Forest
Trabajo de Fin de Máster - Detección de bots en RRSS (Twitter) mediante un algoritmo de clasificación basado en Random Forest
This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.
Breatheasy is a website that provides real-time air quality index (AQI) predictions for various states in India. It uses machine learning models, specifically K-Nearest Neighbors (KNN) and Random Forest, to predict the AQI for different locations.
Predict heart disease presence using machine learning algorithms and the "Heart Disease UCI" dataset from Kaggle. Evaluate model performance to identify effective predictors for medical diagnosis.
cloud burst prediction website rendered using streamlit from a pretrained ml model
Predict your Medical insurance cost!
Random Forest algorithm
This user-friendly site is designed to predict whether a given URL is a phishing site or not. Simply enter the URL you want to check in the provided field and click ‘Predict’. Our advanced algorithm will analyze the URL and provide you with a prediction in no time.
Predict the sales price for each house. For each Id in the test set, predict SalePrice variable.
Stock Price Prediction using Random Forest
This project implements a flight price prediction algorithm using real-time data of Flight schedules across India.Here we have evaluated multiple ensemble machine learning techniques, optimizing the model with XGBoost and Random Forest algorithms to deliver high-performance predictive insights.
Health-insurance-cross-sell-prediction
In this repository we provide code to predict floral biodiversity in grasslands in Franconia with Sentinel-2 data.
The Loblaw Data Analysis project is an initiative aimed at extracting valuable insights from large datasets collected by Loblaw Companies Limited, one of Canada's largest food and pharmacy retailers. Leveraging advanced data analysis techniques and machine learning algorithms, this project seeks to uncover trends, patterns, and correlations within
This repository contains a Flask application for detecting phishing URLs using machine learning. It includes preprocessing, feature extraction, model training, and model deployment in a web application.
Lung Cancer Prediction using Machine Learning Algorithms
This is a model that predicts the property prices based on the fed data.
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