by David Lowe

Multi-Class Deep Learning Model for MNIST Digits Using PyTorch

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 MNIST Database of handwritten digits is a multi-class classification situation where we… Read More

by David Lowe

Regression Deep Learning Model for Boston Housing Using PyTorch

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 Boston Housing dataset is a regression situation where we are trying to… Read More

by David Lowe

Multi-Class Deep Learning Model for Iris Flowers Using PyTorch

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 Iris Flowers dataset is a multi-class classification situation where we are trying… Read More

by David Lowe

Binary Classification Deep Learning Model for Ionosphere Signals Using PyTorch

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 Ionosphere Signals dataset is a binary classification situation where we are trying… Read More