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 AutoKeras
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
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
AutoKeras Deep Learning Templates v2 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 set of project templates that I use to experiment with modeling ML problems using Python and… Read More
Regression Model for White Wine Quality Using Python and AutoKeras
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
Regression Model for Red Wine Quality Using Python and AutoKeras
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
