Petal Width Prediction Project

This notebook demonstrates the comprehensive procedure of data loading, training a simple linear regression model, evaluating its effectiveness, and applying it for predictions, framed within a common machine learning tutorial scenario. The project is notably designed for integration into a Flask web application, as hinted at in the inspiration note. Additionally, this folder includes all necessary code to launch a Flask application, enabling interactive predictions based on petal width input values. For a practical demonstration, refer to the video here.

LSTM, GRU, and Convolution on NOAA buoy data