Image Classification Model for MNIST Handwritten Digits Using Python and 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 MNIST Handwritten Digits dataset is an image classification situation where we attempt to predict one of… Read More

Time Series Model for University of Michigan Inflation Expectation Using Python and ARIMA

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 Inflation Expectation dataset from the University of Michigan is a time series situation where we are trying to forecast… Read More

Binary Classification Model for CycleGAN Horse vs. Zebra 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 Horse vs. Zebra dataset is a binary classification situation where we attempt to predict one… Read More

Binary Classification Model for CycleGAN Horse vs. Zebra 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 Horse vs. Zebra dataset is a binary classification situation where we attempt to predict one… Read More

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

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