Provisioning AWS Ubuntu-based EC2 for Python Deep Learning Projects

Below are my notes for provisioning a Python3/Jupyter server using AWS’ Ubuntu AMI. These notes captured my installation process during the week of 25 November 2019. My goal for this document is to list the various steps required to create a GPU-equipped Linux instance in AWS that can be used for machine/deep learning project in… Read More

Regression Model for Online News Popularity 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 Online News Popularity dataset is a regression situation where we are trying… Read More

Binary Classification Model for Credit Card Default 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 Credit Card Default dataset is a binary classification situation where we are… 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 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 Model for Faulty Steel Plates 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 Faulty Steel Plates dataset is a multi-class classification situation where we are… Read More

Binary Classification Model for Chronic Kidney Disease 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 Chronic Kidney Disease dataset is a binary classification situation where we are… Read More

Multi-Class Classification Model for Glass Identification 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 Glass Identification dataset is a multi-class classification situation where we are trying… Read More