Useful tools for computer science research experiments
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Updated
Feb 15, 2017 - R
Useful tools for computer science research experiments
Processes an image and extract features from it that are ready to be fed into a classifier.
Scripts to parse commonly used biological data format and to modularize commonly used functions or classes
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)
Data Processing and Visualization
This repo presents some solutions and projects presented throughout this master degree discipline taken at PUC-Rio.
codes from book Python for Finance by Yves Hilpisch
CS301 HW 06: Using Python, the data set is processed in order to prepare for machine learning.
Python code to identify and calculate decomposition of materials using Raman spectroscopy
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.
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
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