This repo contains scripts to process data from the GitHub Archive to participate in the GitHub Data Challenge.

Scripts to parse commonly used biological data format and to modularize commonly used functions or classes

Transpose data in matrix (.tsv, .csv).

Basic SVM using python for activit detection. Includes data processor for Shimmer 3 datas. Used for Health Informatics course at KU Leuven 2018

A Python package based on the ASpecD framework for handling TREPR data.

R and Python were both used for different parts of this project. Here, data from Surveys was used to investigate as to whether the perceptions of a schools appeared correlated to the academic success of students from that school. Correlation of variables like SAT scores with demographic factors were also analyzed.

Presentation of scripts to generate the expert distance (ED) for rainfalls (in GNU Octave)

Open3D: A Modern Library for 3D Data Processing

R scripts to import sequences into LabCollector

Data Processing and Visualization

CS301 HW 06: Using Python, the data set is processed in order to prepare for machine learning.

An analytic report outlining how different cryptocurrencies on the trading market can be grouped to create a new classification system for an investment portfolio and the investment's bank customers.

In this project, I made a program using Python to explore The Movie Database (TMDB), I wrote code to import the data then cleaning it, and answer interesting questions about it by computing descriptive statistics and Visualize it to facilitate understanding it and using NumPy, Matplotlib, and pandas.

The Bhojpur Space is a software-as-a-service product used as a Space Engine based on Bhojpur.NET Platform for application delivery.

CCF 425 - Introdução à Ciência dos Dados

Data Processing and Model Experimentation for Predicting if water is drinkable

Deep Neural Network for detecting a dog from a cat.

This project covers both Classification and Clustering algorithm on the Catch the Pink Flamingo Game dataset. This project is built as a fulfillment for my masters degree.

This repository is to showcase Data analysis skills. Here Pandas, Siuba, SQL and other dataFrames are used to clean, manipulate and analyze data to draw conclusions, prepare the data for visualization or prepare the data for machine learning.