Scalable machine 🤖 learning for time series forecasting.

Wrapper around MLForecast for more plug and play forecasting

Nixtla time series forecasting plugins for Claude Code. StatsForecast, MLForecast, and NeuralForecast integrations with agent skills.

Machine learning strategies for multi-step-ahead time series forecasting

CSharp with ML.NET project

Random Forest Forecaster for the Forecasting problem category as per Ready Tensor specifications.

A cutting-edge sales forecasting system tailored specifically for the agricultural sector

Creating Forecasting Models with the Nixtla statsforecast and mlforecast libraries

Time-Series analysis, statistical and machine learning models for forecasting, regression, and classification

A conda-smithy repository for mlforecast.

ForecastTest

Using Machine Learning to forecast sales and predict store traffic.

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This project entailed the task of forecasting attendance at a baseball competition. It includes the data cleaning process, feature engineering, model development, and many other relevant steps to successfully predict the attendance.

Repository for the TFM as support material

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End-to-end financial forecasting platform using mlforecast, FastAPI, and Angular. Trains 9 ML models (Ridge, ElasticNet, RandomForest, XGBoost, LightGBM, etc.) on S&P 500 time-series data with log-return prediction, conformal intervals, and full CI/CD via Docker.

TermDepositMLForecast

Machine Learning in Weather Forecast

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A lightweight, production-ready time-series forecasting library with AutoML capabilities.

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