As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly. Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a set of project templates that can be used to support regression ML problems using Python. Version… Read More
Multi-Class Classification Model for Forest Cover Type Using R Take 1
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Forest Cover Type dataset is a multi-class classification situation where we are… Read More
Web Scraping of useR! 2019 Conference Using Python
SUMMARY: The purpose of this project is to practice web scraping by extracting specific pieces of information from a website. The web scraping Python code leverages the BeautifulSoup module. INTRODUCTION: useR! Conference is an annual meeting that focuses on supporting the R community and ecosystem. This web scraping script will automatically traverse through the entire… Read More
Multi-Class Classification Model for Forest Cover Type Using Python Take 1
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Forest Cover Type dataset is a multi-class classification situation where we are… Read More
Web Scraping of useR! 2019 Conference Using R
SUMMARY: The purpose of this project is to practice web scraping by extracting specific pieces of information from a website. The web scraping R code leverages the rvest package. INTRODUCTION: useR! Conference is an annual meeting that focuses on supporting the R community and ecosystem. This web scraping script will automatically traverse through the entire… Read More
Regression Model for Superconductivity Temperature Using R Take 3
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a prediction model using various machine learning algorithms and to document the end-to-end steps using a template. The Superconductivity Temperature dataset is a regression situation where we are trying to… Read More
Web Scraping of O’Reilly Strata Data Conference London 2019
SUMMARY: The purpose of this project is to practice web scraping by extracting specific pieces of information from a website. The web scraping Python code leverages the BeautifulSoup module. INTRODUCTION: On occasions we have a need to download a batch of documents off a single web page without clicking on the download link one at… Read More
Regression Model for Superconductivity Temperature Using Python Take 3
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a prediction model using various machine learning algorithms and to document the end-to-end steps using a template. The Superconductivity Temperature dataset is a regression situation where we are trying to… Read More
Regression Model for Superconductivity Temperature Using R Take 2
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a prediction model using various machine learning algorithms and to document the end-to-end steps using a template. The Superconductivity Temperature dataset is a regression situation where we are trying to… Read More
Regression Model for Superconductivity Temperature Using Python Take 2
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a prediction model using various machine learning algorithms and to document the end-to-end steps using a template. The Superconductivity Temperature dataset is a regression situation where we are trying to… Read More
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