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
A quick reference guide for creating prediction models using R caret.
Machine Learning Archive
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
[R Studio] Simple Statistical Learning exercise studying a British Election Survey in 2002
machine learning project under the JHU course and analyzing the exercise dataset and predict the type of the exercise they do.
edX Capstone Project: ML-based prediction of shelter animal outcomes using R and Random Forest
Code and results of Coursera course on machine learning
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.
Unlocking Insights into Pakistani Education: Machine Learning Projects with ASER Pakistan 2023 Data
AutoValuate: A machine learning-driven tool for classifying used car prices as high or low, enabling smarter decisions in the car resale market.
Trained Random Forest model using R programming language for two problems; regression and classification based on the solar power generation that was compiled by Ph.D. candidate Alexandra Constantin.
Machine learning model developed in R to predict which water pumps across Tanzania are not working properly
Data Science Track - Coursera; (11/21/17 used for Getting and Cleaning Data Project Submission)
Repository for Coursera Practical Machine Learning course project
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