A tool for clean(s)ing MySQL databases to make realistic data available for development

Data cleanse, clustering with Vector Quantization and Adaptive Resonance Theory

This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.

Data Integration - Data Cleaning Task

R package for data cleaning and pre-processing for data science

Various R, Python, Java files

Exploratory data analysis 📊using python 🐍of used car 🚘 database taken from ⓚ𝖆𝖌𝖌𝖑𝖊

some practical examples to learn data science with python

Tableau visualizations examining patters in Data science courses and their respective ranking

D3 visualizations displaying the attribute comparison between the winners of each year

Visualizations developed in D3 using TopoJSON mapping the mass shootings in the US from 1966 to 2016

Tidying and cleaning data in Excel sheets

Repository for my projects in General Assembly - Data Science Immersive

stress detection in social networks

Here is some implementation and using methods in Topics on Data mining course

This project works with data collected from the donor database of Blood Transfusion Service Center in Hsin-Chu City in Taiwan. The center passes its blood transfusion service bus to one university in Hsin-Chu City to gather blood donated about every three months. The dataset, obtained from the UCI Machine Learning Repository, consists of a rando…

Commercial banks receive a lot of applications for credit cards. Many of them get rejected for many reasons, like high loan balances, low income levels, or too many inquiries on an individual's credit report, for example. Manually analyzing these applications is mundane, error-prone, and time-consuming. Luckily, this task can be automated with t…

Whether or not you like football, the Super Bowl is a spectacle. There's drama in the form of blowouts, comebacks, and controversy in the games themselves. There are the ridiculously expensive ads, some hilarious, others gut-wrenching, thought-provoking, and weird. The half-time shows with the biggest musicians in the world, sometimes riding gia…

XGBoost, LightGBM, LSTM, Linear Regression, Exploratory Data Analysis

This project analyzes video game purchasing data. Demonstrates use of Python and Pandas library, reading csv and converting to dataframes, merging dataframes, aggregate functions, bins, and cleaning and organizing data.