MachineLearningHW

Hello! In this repo are 5 folders, each referring to the work I did for my machine learning course at WPI. While I will summarize what each folder contains in this readme, each folder will have another readme going into more depth about what I had to do.

HW1: step-wise classification

• binary classification of grayscale images
• introduction to feature engineering

HW2: Linear regression for age estimation- 3 methods

• analytical (optimal weights and biases calculated)
• Gradient descent (no regularization)
• Gradient descent + L2 regularization

HW3: Multinomial logistic regression (softmax regression)

• softmax regressor on MNIST fashion dataset + L2 regularization
• softmax regressor on Kaggle's "Titanic - Machine Learning from Disaster" competition

HW4: Support Vector Machines with sklearn

• familiarity with quadratic programming
• hyperplane plotting

HW5: Neural networks from scratch

• 3-layer dense neural network trained for age estimation (see HW2)
• hyperparameter tuning
• backpropagation
• stoichastic gradient descent

Note to reader:

You may notice there isn't much of a commit history here. This is because of both an old private repo issue and computer-side issues. Please see my other projects to get a better grasp of my frequency of commits and pushes.