My Code Repository for Coursera Data Science Specialization by John Hopkins University
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Updated
Nov 29, 2021 - HTML
My Code Repository for Coursera Data Science Specialization by John Hopkins University
데이터 과학 모형
Predictive Machine Learning Project
[R Studio] Simple Statistical Learning exercise studying a British Election Survey in 2002
A classification analysis of data from the Weight Lifting Exercises (WLE) dataset which uses machine learning to predict whether a weightlifting activity was being performed correctly
A quick reference guide for creating prediction models using R caret.
A Snakemake pipeline to run many different machine learning algorithms in parallel using the Caret package.
This study investigates the quality of exercise using the machine learning algorithms and classifies into varying degrees of effectiveness compared to standard practices. The exercise analyzed is dumbbell pull-ups.
Use of Machine Learning and geostatistics to predict house's prices.
Data Science Track - Coursera; (11/21/17 used for Getting and Cleaning Data Project Submission)
machine learning project under the JHU course and analyzing the exercise dataset and predict the type of the exercise they do.
This is an article about "Caret", which is one of the Chrome extensions.
Trying to apply my data science knowledge, this time to a smaller dataset
Repository for Coursera Practical Machine Learning course project
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