by David Lowe

Web Scraping of Quotes from Famous People using Python Take 1

SUMMARY: The purpose of this project is to practice web scraping by gathering specific pieces of information from a website. The web scraping code was written in Python 3 and leveraged the Scrapy framework maintained by Scrapinghub. INTRODUCTION: A demo website, created by Scrapinghub, lists quotes from famous people. It has many endpoints showing the… Read More

by David Lowe

Binary-Class Classification Model for German Credit Risks 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 German Credit Risks Dataset is a binary-class classification situation where we are… Read More

by David Lowe

Binary-Class Classification Model for German Credit Risks 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 prediction model using various machine learning algorithms and to document the end-to-end steps using a template. The German Credit Risks Dataset is a binary-class classification situation where we are… Read More

by David Lowe

Binary-Class Classification Model for German Credit Risks 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 German Credit Risks Dataset is a binary-class classification situation where we are… Read More

by David Lowe

Binary-Class Classification Model for German Credit Risks 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 prediction model using various machine learning algorithms and to document the end-to-end steps using a template. The German Credit Risks Dataset is a binary-class classification situation where we are… Read More

by David Lowe

Updated Machine Learning Templates for R

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, [https://machinelearningmastery.com/machine-learning-project-template-in-r/] I have pulled together a set of project templates that can be used to support regression ML problems using Python… Read More

by David Lowe

Binary-Class Classification Model for Seismic Bumps Take 3 Using Python

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. INTRODUCTION: Mining activity has always been connected with the occurrence of dangers which are commonly called mining hazards. A special case of such a threat is a seismic hazard which frequently occurs in many underground mines. Seismic hazard is… Read More

by David Lowe

Binary-Class Classification Model for Seismic Bumps Take 2 Using Python

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. INTRODUCTION: Mining activity has always been connected with the occurrence of dangers which are commonly called mining hazards. A special case of such a threat is a seismic hazard which frequently occurs in many underground mines. Seismic hazard is… Read More