A Python project that uses machine learning to estimate the weight of a fish.

A linear regression model is trained using existing data. The user inputs five length measurements of a fish and the application outputs the predicted weight of the fish.

Features:

• the ability to input a fish's vertical length, diagonal length, cross length, height, and diagonal width and receive its predicted weight in grams.
• generation of visuals that show and/or describe the data and algorithm.

To view the 3 visuals of the project, visit the visuals folder.

Refer to the "User Guide" in Task 2 Writeup.

• Kaggle Dataset: fish_data_raw.csv OR link to Kaggle download
• PyCharm Community Edition 2022.2.3
• Python 3.11.3 (64-bit)

• Author: Austin Kim