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competitive-_data-_science

coursera_reinforcement_learning

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

data_plotting_r

Plotting Assignment 1 for Exploratory Data Analysis

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

getting_and_cleaning_data_project

ibf-system

ideal_weight_predictor

impact_based_forecasting_droughts

This project aims to build a predictive model for the occurrence and impact of droughts in Uganda and Kenya. This is a part of the Impact-Based-Forecasting project, developed by the 510 team, associated with the Dutch Red Cross.

johns-hopkins-data-science-specialization

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

motation_monte_calo

This project has been performed in Prof. Schiessel group at Leiden University, and is associated to the following publication: Eslami-Mossallam B, Schram RD, Tompitak M, van Noort J, Schiessel H (2016) Multiplexing Genetic and Nucleosome Positioning Codes: A Computational Approach. PLoS ONE 11(6): e0156905. https://doi.org/10.1371/journal.pone.0156905. For more information see: https://www.universiteitleiden.nl/en/news/2016/06/second-layer-of-information-in-dna-confirmed

practicing-deep-learning

predicting_mortgage_rates

This competition formed the capstone project for the Microsoft Professional Program in Data Science. Based on the Home Mortgage Disclosure Act (HMDA), I used a gradient boosting algorithm (from XGBoost package in Python) to predict the mortgage rate from variables concerning property location, loan characteristics, applicant information and lender identity. The optimized model was able to explain %74 of the variance in the test set

programmingassignment-_-r

Repository for Programming Assignment 2 for R Programming on Coursera

rnap_dynamics

This repository contains the MATLAB scrips to analyze the noisy progressive time series of RNA polymerase. For more details see: https://www.biorxiv.org/content/10.1101/762468v1

sample_gbxml_files

Includes a wide variety of sample gbXML files from different vendors and organizations.

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021/Spring 2022

wide-resnet.pytorch

Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch