Machine Learning algorithms in R
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Updated
Jun 5, 2021 - R
Machine Learning algorithms in R
Documents on Packages and Concepts of Machine learning
Cracking the famous Ames, IA dataset with multiple linear regression.
Climate change is a key factor in how extreme weather events affect how ecosystems and species react to these changes in temperatures. University of British Columbia's (UBC) Botanical Garden is interested in improving microclimate information within the garden to understand how areas with shade create respite zones for species. Due to the recent…
Surprise Housing House Price Prediction
Classifying NBA player position based solely on performance statistics
An introductory machine learning course of 1-2 hours
Using a telecom company's data of services provided to customers and observing how customers use it to predict if they will decide to continue or cease to be a customer of the company.
Skillenza Upgrad DataScience Hackathon : Rank #18 in Leaderboard
Exploring multiple linear regression methods and techniques while trying to predict the cost of health insurance for a set of individuals using R.
Big Data Derby Racing Dataset's Analysis Project
Sleep Disorder Prediction with Multinomial Logistic Regression
Implementation of Trust Region and Gradient Descent methods for Multinomial Regression
Using regression analysis to create a prediction model to forecast Victorian COVID-19 cases.
Final Project for STA 135 with Dr. Xiucai Ding
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.
A comparison of various ensemble machine learning algorithms (XGboost, random forest, ranger) to predict accelerometers
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