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

Repository for predicitons of timeseries data with NN.

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…

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.

Demonstration of time series analysis using various concepts and models.

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

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

SmoothTrend is a comprehensive time series analysis tool that utilizes Holt-Winters, Holt, and Simple Exponential Smoothing methods, as well as ARIMA/SARIMA modeling, to perform advanced trend analysis, stationarity testing, residual analysis, and forecasting.

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

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

This project is a customizable real estate market forecasting tool with 10 ready-to-use time series SARIMA models of states including New York, California and Texas.

A DSS leveraging CPI data provides real-time and predictive insights for MoSPI, NSO, and CSO. Using ARIMA, SARIMA, and LSTM models, it forecasts CPI trends across sectors, supports decision-making, and features Streamlit-based visuals and a feedback loop to improve inflation management and economic stability.

This project utilizes ARIMA/SARIMA models with macroeconomic adjustments to RE forecast long-term returns and volatilities across various sectors and regions.

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

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

A configurable Python framework for comparing time series forecasting models (SARIMA, Prophet, RNN, LSTM) with evaluation & visualization.

World temperature analysis and forecasting with ARIMA variants and Prophet.

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.

End-to-end demand forecasting with Python using synthetic time-series sales data. Includes data generation, cleaning, ARIMA/SARIMA model selection by AIC, evaluation with RMSE and MAPE, and 90-day forecasts with confidence intervals. Reproducible scripts and visualizations for portfolio showcase.