Pinned Repositories
codility-challenges
I solved Codility challenges from section 3, section 4 and section 5. The details were shared on the readme file.
coronavirus-data-analysis
Exploratory data analysis for coronavirus cases in South Korea.
financial-review
This project taken from the section two of Udemy Data Science Course taught by Kirill Eremenko. All provided datasets also created by Kirill Eremenko. Only "mainScript.R" file is my work.
Kaggle-Competitions
On this repository, I share the notebooks I've prepared for the competitions that I participated on Kaggle.
machine-utilization
This project taken from the section three of Udemy Data Science Course taught by Kirill Eremenko. All provided datasets also created by Kirill Eremenko. Only "mainScript.R" file is my work.
PyMusAnim
Clone of Stephen Malinowski's Music Animation Machine in Python
reddit-data-analysis-zeppelin
I analyzed 160 GB Reddit dataset on Amazon EMR using Zeppelin notebook and PySpark.
spotify-api-project
This project Includes data extraction from Spotify web API, data analysis and recommendation system parts.
titanicR
This repository is for examining the Titanic dataset on Kaggle. The method is provided by David Langer's YouTube series.
weather-pattern
This project taken from the section four of Udemy Data Science Course taught by Kirill Eremenko. All provided datasets also created by Kirill Eremenko. Only "mainScript.R" file is my work.
melishan's Repositories
melishan/PyMusAnim
Clone of Stephen Malinowski's Music Animation Machine in Python
melishan/codility-challenges
I solved Codility challenges from section 3, section 4 and section 5. The details were shared on the readme file.
melishan/coronavirus-data-analysis
Exploratory data analysis for coronavirus cases in South Korea.
melishan/financial-review
This project taken from the section two of Udemy Data Science Course taught by Kirill Eremenko. All provided datasets also created by Kirill Eremenko. Only "mainScript.R" file is my work.
melishan/Kaggle-Competitions
On this repository, I share the notebooks I've prepared for the competitions that I participated on Kaggle.
melishan/machine-utilization
This project taken from the section three of Udemy Data Science Course taught by Kirill Eremenko. All provided datasets also created by Kirill Eremenko. Only "mainScript.R" file is my work.
melishan/reddit-data-analysis-zeppelin
I analyzed 160 GB Reddit dataset on Amazon EMR using Zeppelin notebook and PySpark.
melishan/spotify-api-project
This project Includes data extraction from Spotify web API, data analysis and recommendation system parts.
melishan/titanicR
This repository is for examining the Titanic dataset on Kaggle. The method is provided by David Langer's YouTube series.
melishan/weather-pattern
This project taken from the section four of Udemy Data Science Course taught by Kirill Eremenko. All provided datasets also created by Kirill Eremenko. Only "mainScript.R" file is my work.