https://github.com/kaylaipp/evaluatingmodelslearningrate

Evaluating various models and their learning rates
https://github.com/kaylaipp/evaluatingmodelslearningrate

linear-models logistic-regression neural-network python

Last synced: about 23 hours ago
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Evaluating various models and their learning rates

• Host: GitHub
• URL: https://github.com/kaylaipp/evaluatingmodelslearningrate
• Owner: kaylaipp
• Created: 2024-08-10T21:12:19.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-08-11T19:15:37.000Z (3 months ago)
• Last Synced: 2024-08-11T22:26:22.181Z (3 months ago)
• Topics: linear-models, logistic-regression, neural-network, python
• Language: Python
• Homepage:
• Size: 1.2 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# EN.605.649 (81): Machine Learning: Assessing Model Performance: Impact of Learning Rates Across Various Models and Datasets

This project outlines the steps taken in order to build several different prediction

networks - logistic regression, linear network and forward feed neural networks from scratch

These networks are trained on 3 classification datasets and 3 regression datasets to compare the

differing networks and how well they can predict and generalize different types of data

## Run it!

```

python main.py

```

## Read it!

```

See the write up writeup.pdf

```