Package provides javascript implementation of linear regression and logistic regression
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Updated
Nov 23, 2017 - JavaScript
Package provides javascript implementation of linear regression and logistic regression
shiny-mlr: Integration of the mlr package into shiny
R implementation of the Non-dominated Sorting Genetic Algorithm III for multi objective feature selection
A comparison of various ensemble machine learning algorithms (XGboost, random forest, ranger) to predict accelerometers
A 🐳 image to be used on biocai HPC machines
Machine learning models build on real time data
Skillenza Upgrad DataScience Hackathon : Rank #18 in Leaderboard
Surprise Housing House Price Prediction
This is for Kaggle competition https://www.kaggle.com/c/house-prices-advanced-regression-techniques/ .
Data Science Project : A digital media company (similar to Voot, Hotstar, Netflix, etc.) had launched a show. Initially, the show got a good response, but then witnessed a decline in viewership. The company wants to figure out what went wrong.
Classifying NBA player position based solely on performance statistics
This Git is part of the class of applied regression methods, examples, exercises, etc.
An introductory machine learning course of 1-2 hours
Exploring multiple linear regression methods and techniques while trying to predict the cost of health insurance for a set of individuals using R.
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