This repository presents data science projects I carried out as a part of my MSc Data Science degree

The projects involve a modelling and implementing of comprehensive range of algorithms and methodologies on intriguing real-world data sets

List of projects with brief explanation are as below. Relevant source codes can be found at each sub-directory.

• Dissertation: Aritficial Neural Network for Drug Side-effects Prediction - Multi-label classification, imbalanced label, high-dimensional data (Python, Keras, Tensorflow)
• Human Activity Recognition Using Stacked Auto-Encoders and Multi-layered Perceptron (Matlab)

• Human skin classification Using K-Nearest Neighbours and Random Forest (Matlab)

• Sentiment Analysis Using Natural Language Processing and Logistic Regression (Python, Spark)

• Local coffee business boosting strategy on Yelp Dataset Using Multivariate Correspondence Analysis (Python)
• U.S. swing states election strategy Using Principal Component Analysis and K-means clustering (R)

• Building and Querying an ORDBMS (Object-Relational Database Management System) schema(Oracle SQL)

• Image Correlation (Template matching) and Time-Series prediction (Fourier Transform) (Matlab)