by David Lowe

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

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 1 Using R

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 Seismic Bumps Data Set is a binary-class classification situation where we are… Read More

by David Lowe

Multi-Class Classification Model for Letter Recognition Using Python

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 Letter Recognition Data Set is a multi-class classification situation where we are… Read More

by David Lowe

Multi-Class Classification Model for Letter Recognition Using R

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 Letter Recognition DataSet is a multi-class classification situation where we are trying… Read More

by David Lowe

Binary Classification Model for Truck APS Failure Detection 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 APS Failure at Scania Trucks dataset is a classic binary classification situation… Read More

by David Lowe

Binary Classification Model for Truck APS Failure Detection 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 APS Failure at Scania Trucks dataset is a classic binary classification situation… Read More

by David Lowe

Binary Classification Model for Truck APS Failure Detection 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 APS Failure at Scania Trucks dataset is a classic binary classification situation… Read More

by David Lowe

Binary Classification Model for Census Income 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 Census Income dataset is a classic binary classification situation where we are… Read More