PilarEaseDJO is a Django-based platform for emotion management and sentiment analysis, featuring user authentication, status posting, emotion filtering, machine learning integration, chatbot interaction, and administrative tools.

This is the GitHub repository for the technical product documentation for Syncfusion Predictive Analytics components

Machine Learning Model training for prediction for the next coming 5 years

Predicting the onset of COPD from location/ethnicity

MERI SKILL INTERNSHIP PROJECT (PREDICTIVE ANALYSIS )

Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend

Cab Investment Strategy in the US examines market trends, customer demographics, and profitability for Pink Cab and Yellow Cab, offering insights to guide strategic investment decisions through data analysis, visualizations, and forecasting.

PhyAAt homepage

Exercícios/aulas da matéria análise preditiva da Fatec.

End-to-end machine learning project to predict house price based on physical features in Depok, West Java.

Toolkit for Doing Research with ECMAScript-based Statistics (DRESS Kit)

This project predicts flight delays using machine learning. It analyzes various factors such as weather, airline data, airport congestion, and flight capacity. With an accuracy of 80%, the model provides insights into key delay causes, helping improve flight scheduling and passenger experience.

This project predicts future electricity consumption using machine learning, specifically the XGBoost algorithm. It includes time series analysis, feature engineering, and hyperparameter tuning to improve model accuracy. The analysis helps forecast electricity demand, enabling better energy management and resource planning for utilities and busines

✨Data Predictor is a web application designed to facilitate the analysis of CSV data using AI models. Users can upload their datasets, select target columns, and receive predictions powered by advanced AI algorithms.

ERG3020 - Web Analytics and Intelligence Project

This repository contains code for implementing both Large Language Models (LLM) and Long Short-Term Memory (LSTM) models in AWS SageMaker Studio Lab. It includes notebooks for LLM-based applications and LSTM models for stock price prediction.

Data analysis and machine learning models to predict SpaceX rocket launch outcomes using historical data, interactive visualizations, and predictive analytics.

Bike rental demand prediction through statistical modeling and predictive analytics.

This is a tool that will allow you to estimate the minimum required performance characteristics of an ML model for a business problem

Quantum-Based Predictive Market Analysis (QBPMA) is a quantum algorithm designed to analyze and predict market trends with higher accuracy using quantum computing principles.