🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

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

Wrangler Transform: A DMD system for transforming Big Data

Java DSL for (online) deduplication

Data cleanse, clustering with Vector Quantization and Adaptive Resonance Theory

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

This library contains the file system extensions to Data-Forge that allow it to directly read and write CSV and JSON files in Node.js

Data cleaning tool.

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.

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

Data quality analysis and scoring system.

Categorical Binary Feature encoding script

some practical examples to learn data science with python

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

stress detection in social networks

Code examples for Chapter 6 of Data Wrangling with JavaScript

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

Quickly find flags (words, phrases, etc) within your data. 🕵️‍♂️

Manipulating and Analyzing Data Interactively with Shiny

Repository for my projects in General Assembly - Data Science Immersive

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 the power of machine learning. Here is an automatic credit card approval predictor using machine learning techniques.

Public leaderboard 38th place solution (0.700) out of 2,426 teams.

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

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

Learning R for data science

Transform unstructured, inconsistent or incomplete address data into structured and complete address data with Google Maps Geocoding API.