https://github.com/drkocoglu/machine_learning_class

Machine Learning Class - ECE - TTU - Spring 2020
https://github.com/drkocoglu/machine_learning_class

bias-variance cnn-classification convolutional-neural-network data-normalization data-split feedforward-neural-network gradient-descent hyperparameter-tuning image-processing linear-regression logistic-regression polynomial-regression rbf-regression regularization-methods softmax-regression

Last synced: 25 days ago
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Machine Learning Class - ECE - TTU - Spring 2020

• Host: GitHub
• URL: https://github.com/drkocoglu/machine_learning_class
• Owner: drkocoglu
• License: mit
• Created: 2025-02-26T07:18:35.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-03-01T04:00:10.000Z (about 1 year ago)
• Last Synced: 2025-10-12T15:27:00.423Z (5 months ago)
• Topics: bias-variance, cnn-classification, convolutional-neural-network, data-normalization, data-split, feedforward-neural-network, gradient-descent, hyperparameter-tuning, image-processing, linear-regression, logistic-regression, polynomial-regression, rbf-regression, regularization-methods, softmax-regression
• Language: MATLAB
• Homepage:
• Size: 15.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Machine_Learning_Class

Machine Learning Class Projects / Electrical & Computer Engineering / Texas Tech / Spring 2020

WARNING: 

- This software is provided "as is" without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose. The author shall not be liable for any damages arising from the use of this software.

Summary:

- This repository includes the machine learning class assignments I completed in the Electrical & Computer Engineering department at Texas Tech University.

- The assignments require the user to develop the algorithms from scratch meaning, there will either be very limited or no use of other existing libraries. 

- The assignments were solved in MATLAB.