Multi-Class Classification Model for Sensorless Drive Diagnosis 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 Sensorless Drive Diagnosis is a multi-class classification situation where we are trying… Read More

Regression Model for Metro Interstate Traffic Volume Using R Take 4

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 Metro Interstate Traffic Volume dataset is a regression situation where we are… Read More

Web Scraping of O’Reilly Software Architecture Conference 2019 San Jose 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: The Software Architecture Conference covers the full range of topics in the software architecture discipline. Those topics include leadership and business skills, product management, and… Read More

Regression Model for Metro Interstate Traffic Volume Using Python Take 4

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 Metro Interstate Traffic Volume dataset is a regression situation where we are… Read More

Regression Model for Metro Interstate Traffic Volume 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 predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Metro Interstate Traffic Volume dataset is a regression situation where we are… Read More

Web Scraping of O’Reilly Strata Data Conference 2019 London 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: O’Reilly Strata Data Conference is an annual meeting that takes a deep dive into emerging techniques, technologies, and best practice for data science. This web… Read More