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
Time Series Model for Monthly Temperature in England Using Python
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 time series prediction model and document the end-to-end steps using a template. The Monthly Temperature in England dataset is a time series situation where we are trying to forecast… Read More
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
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
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
TensorFlow Deep Learning Templates v6 for Classification and Regression
As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly. 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
Time Series Model for Residential Water Consumption in London Using Python
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 time series prediction model and document the end-to-end steps using a template. The Residential Water Consumption in London dataset is a time series situation where we are trying to… Read More
Algorithmic Trading Model with Dual Moving Average Crossover Using Python Take 4
Code Credit: Adapted from code samples used in O’Reilly Media’s Learning Path: Hands-On Algorithmic Trading with Python by Deepak Kanungo. SUMMARY: The purpose of this project is to construct an algorithmic trading model and document the end-to-end steps using a template. INTRODUCTION: This algorithmic trading model uses the 20-day and 50-day moving averages to generate… Read More
Algorithmic Trading Model with Dual Moving Average Crossover Using Python Take 3
Code Credit: Adapted from code samples used in O’Reilly Media’s Learning Path: Hands-On Algorithmic Trading with Python by Deepak Kanungo. SUMMARY: The purpose of this project is to construct an algorithmic trading model and document the end-to-end steps using a template. INTRODUCTION: This algorithmic trading model uses the 20-day and 50-day moving averages to generate… Read More
Algorithmic Trading Model with Dual Moving Average Crossover Using Python Take 2
Code Credit: Adapted from code samples used in O’Reilly Media’s Learning Path: Hands-On Algorithmic Trading with Python by Deepak Kanungo. SUMMARY: The purpose of this project is to construct an algorithmic trading model and document the end-to-end steps using a template. INTRODUCTION: This algorithmic trading model uses the 20-day and 50-day moving averages to generate… Read More
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