[SIGE-MII-UGR-2016-17] Competición en Kaggle: Titanic
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Updated
Apr 28, 2017 - R
[SIGE-MII-UGR-2016-17] Competición en Kaggle: Titanic
NCCU 110 資料科學 - 期末專案 - 信用卡風險預測( R 、決策數)
This project used machine learning models to detect cancer in biopsies with an accuracy of 98%
Recognize the gender of a voice using random forests
DsFeatFreqDist – Dataset Feature-Frequency Distributions Fitting
DsFeatFreqComp – Dataset Feature-Frequency Comparison R Package
This was my first Kaggle competition. The goal was to predict if someone survived the shipwreck or not.
PToPI - Periodic Table of Performance Instruments
R Project about my solution of DSG18-qualifier (TOP 20)
BenchMetrics - A Systematic Benchmarking Method for Binary-Classification Performance Metrics
Short project done for the course "Introduction to Machine Learning" @ UniTS.
An R package to detect seperation in binary classification models using linear programming
Data science with R: predicting car insurance conversion rate and engine part failure rates (binary classification)
Classification of spondylodiscitidis vs metastasis in the spine using multiple approaches in R
Solution for ENS - Societe Generale Challenge (1st place).
R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.
This project is from the Airbnb Recruitment Challenge on Kaggle. The challenge is to solve a multi-class classification problem of predicting new users first booking destination.
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