Machine Learning Course

Practical HW's and Project

Sharif University of Technology

Fall 2022

• HW2:

  • Implemented Linear Regression from scratch
  • Implemented a Classification Decision Tree from scratch to predict malignant and benign breast cancer
  • Face Classification by SVM on Eigenfaces

• HW3:

  • Implemented Adaboost algorithm from scratch
  • Developed a framework for simple neural networks, multi layer perceptrons with numpy.
  • Used PyTorch to build and implement a MLP model for solving a classification problem.

• HW4:

  • Used PyTorch to build and implement a residual CNN for solving a classification problem.
  • Trained an Autoencoder for Covid-19 dataset
  • Implement a deep neural network to caption Flickr images, used Resnet-50 to extract image features

• Project:

  • Predicting breast cancer survival using machine learning models with clinical data and gene expression profiles.