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

# Time Series Model for Birmingham Parking Occupancy Using Python and ARIMA Part 2

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a time series prediction model and document the end-to-end steps using a template. The Birmingham Parking Occupancy dataset is a time series situation where we are trying to forecast future outcomes based on… 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

# Time Series Model for Birmingham Parking Occupancy Using Python and ARIMA Part 1

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a time series prediction model and document the end-to-end steps using a template. The Birmingham Parking Occupancy dataset is a time series situation where we are trying to forecast future outcomes based on… 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