Binary Classification Model for CycleGAN Horse vs. Zebra Using TensorFlow Take 1

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The CycleGAN Horse vs. Zebra dataset is a binary classification situation where we attempt to predict one… Read More

Binary Classification Model for CycleGAN Apple vs. Orange Using TensorFlow Take 3

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The CycleGAN Apple vs. Orange dataset is a binary classification situation where we attempt to predict one… Read More

Binary Classification Model for CycleGAN Apple vs. Orange Using TensorFlow Take 2

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The CycleGAN Apple vs. Orange dataset is a binary classification situation where we attempt to predict one… Read More

Binary Classification Model for CycleGAN Apple vs. Orange Using TensorFlow Take 1

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The CycleGAN Apple vs. Orange dataset is a binary classification situation where we attempt to predict one… Read More

Binary Classification Model for MiniBooNE Particle Identification Using TensorFlow

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The MiniBooNE Particle Identification dataset is a binary classification situation where we attempt to predict one of… Read More

TensorFlow Deep Learning Templates v8 for Classification and Regression

As I work on practicing and solving machine learning (ML) problems, I repeatedly find myself duplicating a set of steps and activities. 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 classification and regression problems using Python and… Read More

Regression Modeling Template Using Python and AutoKeras Version 1

As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly. The purpose of this modeling exercise is to construct an end-to-end template for solving machine learning problems. This Python script will adapt Dr. Jason Brownlee’s blog post on this topic and build a… Read More

Multi-Class Modeling Template Using Python and AutoKeras Version 1

As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly. The purpose of this modeling exercise is to construct an end-to-end template for solving machine learning problems. This Python script will adapt Dr. Jason Brownlee’s blog post on this topic and build a… Read More

Regression Model for Superconductor Critical Temperature Using Python and TensorFlow 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 Superconductor Critical Temperature dataset is a regression situation where we are trying… Read More

Regression Model for Superconductor Critical Temperature Using Python and TensorFlow 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 Superconductor Critical Temperature dataset is a regression situation where we are trying… Read More