Web Scraping of O’Reilly Artificial Intelligence 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: The O’Reilly Artificial Intelligence (AI) Conference covers the full range of topics in leveraging the AI technologies for developing software applications and creating innovative solutions.… Read More

Regression Model for Red vs. White Wine Quality 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 predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Wine Quality dataset is a regression situation where we are trying to… Read More

Binary Classification Deep Learning Model for MiniBooNE Particle Identification Using Keras

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 MiniBooNE Particle Identification dataset is a binary classification situation where we are… Read More

Binary Classification Model for MiniBooNE Particle Identification Using Python Take 6

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 MiniBooNE Particle Identification dataset is a binary classification situation where we are… Read More

Binary Classification Model for MiniBooNE Particle Identification Using Python Take 5

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 MiniBooNE Particle Identification dataset is a binary classification situation where we are… Read More

Multi-Class Classification Model for Faulty Steel Plates 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 predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Faulty Steel Plates dataset is a multi-class classification situation where we are… Read More

Multi-Class Classification Deep Learning Model for Faulty Steel Plates Using Keras

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 Faulty Steel Plates dataset is a multi-class classification situation where we are… Read More