Term project for Image Analysis, CS484, in Fall 2016 at Bilkent University
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Updated
Jan 13, 2017 - TeX
Term project for Image Analysis, CS484, in Fall 2016 at Bilkent University
Repository for the assignments of the Real-Time Learning in Intelligent Systems Course (Doctoral Program in Information Science and Technology)
Using machine learning to analyse the ravelry yarn dataset
Cardiac SPECT diagnosis using Support Vector Machines (SVM) and Neural Networks
Machine Learning Talk: Support Vector Machines
This is the prototype for my bachelor thesis for activity recognition
Positive and Negative Sentiments Analysis on Twitter Data
A simple SVM talk (COW 2013, Dolní Lomná).
Second assignment for Machine Learning course @USI19/20.
M.Sc. Thesis on "Predicting Mutation Scores using Source Code and Test Suite Metrics"
Official document that explains the implementation of the automatic annotator to classify voice segments according the intonation system of Cuba.
In this project, I explore various machine learning techniques including Principal Component Analysis (PCA), Support Vector Machines (SVM), Artificial Neural Networks (ANN), and Sentiment Analysis in an effort to predict the directional changes in exchange rates for a list of developed and developing countries.
Lecture Notes on Advanced Machine Learning (AML)
Our study focused on using the Big Five personality inventory to predict traits from students' smartphone sensor data collected over 2 months under the Horizon Europe project. Through correlation analyses and machine learning with cross-validation, we showed that predictions are reliable and accurate enough for practical use.
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