Forecasting Weather with Neural Prophet and Python

Learn how to create accurate weather forecasts using Neural Prophet and Python in this comprehensive tutorial video. Discover the power of combining Facebook's Prophet time series forecasting package with a Pytorch AR-Net model for quick and precise predictions. Master the process of preprocessing weather data from Kaggle using Pandas, training a time series forecasting model to predict temperature with Neural Prophet, and generating future temperature forecasts. Follow along as the instructor guides you through installing and importing Neural Prophet, reading and preprocessing weather data, training the model, generating forecasts, and saving and reloading Neural Prophet models. Gain valuable skills in time series forecasting that can be applied to weather prediction and other data analysis tasks. Access the provided code repository on GitHub to practice and expand your knowledge.

- Start
- Installing and Importing Neural Prophet
- Reading and Preprocessing Weather Data
- Training a Neural Prophet Model
- Generating Forecasts. with Neural Prophet
- Saving and Reloading Neural Prophet Models