brandonyph/Introduction-to-RNN-in-R
This page serve as the repository for the script file I used in my LiquidBrain Youtube Video
This project helps data scientists and analysts in climate or environmental fields prepare and explore time-series weather data for machine learning. It takes raw climate data, cleans and normalizes it, and then visualizes temperature trends over time. The output is preprocessed data suitable for training machine learning models, along with plots to understand the data's characteristics.
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Use this if you need to set up a basic workflow for cleaning, visualizing, and preparing climate time-series data using R and Keras, especially for educational or introductory purposes.
Not ideal if you need a production-ready solution, a highly optimized data pipeline, or deep expertise in time-series forecasting beyond basic RNN concepts.
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Mar 09, 2021
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