This is a collection of applied machine learning projects done in SP 2019
Project 3:
The assignment is to identify promising features, models and preprocessing methods and apply them as appropriate. The overall goal is to predict whether a payment by a company to a medical doctor or facility was made as part of a research project or not. Please use the data from 2017 provided here: https://www.cms.gov/OpenPayments/Explore-the-Data/Dataset-Downloads.html
Project 4:
This project is a simple NLP project to built Bag of Words Model and word2vec models. we try to solve the problem of moderating the science subreddit r/science. The data can be found here:https://www.kaggle.com/areeves87/rscience-popular-comment-removal
Project 5:
This project is a deep learning project with keras. Medels built and compared: Feedforward Neural Network, Multilayer perception, and convolutional neural network. Dataset used are the iris dataset, MNIST dataset and a breast histopathology images dataset. The data can be found here: https://www.kaggle.com/paultimothymooney/breast-histopathology-images