Web Scraping of O’Reilly Velocity Conference 2019 San Jose 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: The Velocity Conference covers the full range of skills, approaches, and technologies for building and managing large-scale, cloud-native systems. This web scraping script will automatically… Read More

Python Deep Learning Template v1 for Binary Classification

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 project template that can be used to support modeling binary classification problems using Python and the… Read More

Multi-Class Classification Model for Sensorless Drive Diagnosis 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 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

Web Scraping of O’Reilly Velocity 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 Velocity Conference covers the full range of skills, approaches, and technologies for building and managing large-scale, cloud-native systems. This web scraping script will automatically… Read More

Multi-Class Classification Model for Sensorless Drive Diagnosis 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 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

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

Web Scraping of O’Reilly Software Architecture Conference 2019 San Jose 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: 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