Pharmalytics is a sales prediction application for Firstmed Pharmacy using the Prophet model and Streamlit.

World temperature analysis and forecasting with ARIMA variants and Prophet.

Monitoring established in-land human activities using pollution satellite data. Copernicus Sentinel-5P (TROPOMI) is the satellite data imagery source for remote pollution sensing on which the entire project is based. The image processing phase has taken a significant amount of effort since it was crucial to extract useful and correct information…

Energy consumption time series forecasting with ARIMA, SARIMA, XGBoost, and CNN-LSTM

Dashboard de ponta a ponta para análise do mercado de energia brasileiro. Combina modelos de previsão (SARIMA, Prophet), árvore de decisão e uma IA (Gemini) para transformar dados históricos em insights estratégicos e acionáveis.

Predict assets like currencies, cryptocurrencies, and stock prices using ML models

This is a price uni and multivariate forecasting of collectible assets indices using ARIMA models

This project focuses on analyzing historical stock market data and forecasting future stock prices using statistical and deep learning models. It covers the complete workflow — data collection, preprocessing, feature engineering, model training, evaluation, and visualization. The project serves as a beginner-to-intermediate reference.

📊 Automate time series analysis and forecasting with an interactive AI agent that delivers tailored reports for both technical and business needs.

Web dashboard for climate forecasting and policy suggestions using SARIMA and historical data.

Sistema web de análise preditiva de criminalidade para o Rio de Janeiro. Implementa 8 modelos de ML (ARIMA, SARIMA, Prophet, XGBoost, Random Forest, LSTM, Gradient Boosting, Ensemble) com visualizações interativas, mapas coropléticos e análise temporal. Arquitetura POO com Design Patterns, otimizado para Streamlit Cloud.

AI-Powered Sales Forecasting Dashboard (Future Interns ML Task 1) using Python, SARIMA, and Streamlit.

An interactive AI agent built with LangChain that automates end-to-end time series analysis and forecasting by collaborating with the user.

Time-series demand forecasting using SARIMA. Includes full pipeline for stationarity analysis, ACF/PACF diagnostics, SARIMA model training, forecasting, and performance evaluation.

A Simple Python Implementation of an API that provides services like Classification,Regression and Forecasting on the input data set

This is python script for building a Autoregressive integrated moving average model . This example is predicting sales over several months.

Time series forecasting: ARIMA/SARIMA, Prophet, LSTM networks and ensemble methods along with automated feature engineering for real-time predictive analytics

Demonstration of time series analysis using various concepts and models.

Superstore Time Series Data Analysis and its prediction for next 4 years using ARIMA model.

Forecasting the energy consumption of Ecole Polytechnique's start-up incubator building.