This repository contains projects created while studying machine learning.
Performed preprocessing and exploratory analysis of a private aviation accident data set: explored statistical summaries of features, visualized attributes, and addressed data quality.
Performed preprocessing and exploratory analysis of a pneumonia chest X-ray data set: performed linear dimensionality reduction using PCA and randomized PCA and analyzed feature extraction using DAISY.
Compared the performance of logistic regression optimization programmed in scikit-learn via self-made implementations using a diabetes indicators dataset.
Compared the performance of multi-layer perceptrons programmed via various self-made implementations using US Census demographic data.
Evaluated different wide and deep networks using Keras and tuned hyper-parameters while predicting if patients have prediabetes or diabetes.
Evaluated a convolutional neural network using Keras and tuned hyper-parameters while predicting if pediatric patients have pneumonia.
Evaluated LSTM and GRU recurrent network architectures and tuned hyper-parameters while predicting the sentiment of tweets about stocks.