MFTCN: A Multi-Frequency Temporal Convolutional Network for Short-Term Temperature Prediction

Temperature and Dewpoint Forecasting using the ARIMA and Auto-ARIMA model respectively.

World Temperature Viewer is more than just a data visualization tool; it is a conduit for knowledge transfer, fostering a greater understanding of the far-reaching impacts of global warming and climate change

I have worked on this project as part of my exploration of machine learning algorithms. I have understood the deep concept behind Arima-Model and Auto-Arima-Model. Also, this notebook contains data cleaning and data visualization things which make things easier to understand.

In this project, I analyzed weather data from the NCEI Global Surface Summary of Day dataset using PySpark in Jupyter Notebook. Tasks included data cleaning, statistical analysis, and forecasting for temperature, wind speed, precipitation, and extreme weather events. The project also predicts future weather patterns for Cincinnati and Florida.