tvhahn / Machine-Learning-Practice

Machine learning assignments, along with other "practice"

Machine-Learning-Practice

These are a collection of assignments and tutorials I have completed.

Assignments

• cond_gaussian_naive_bayes.ipynb: From-scratch implementation of a conditional gaussian classifier, and naive bayes classifier, on the MNIST data. For my ELEC-425 course.

• neural_net_from_scratch.ipynb: From-scratch implementation of a simple neural network (back-prop is also done from scratch). Used for XOR classification. For my CISC-867 Deep Learning course.

• neural_net_from_scratch_mnist.ipynb: Similar implementation of a neural network, but used to classify digits from MNIST. I also demonstrate what happens if we have large initial weights. For my CISC-867 Deep Learning course.

Tutorials

Tutorials are in the Playing Around Folder. Most are from sentdex's youtube channel (great resource, btw).