Algorithmic Trading Model with Dual Moving Average Crossover Using Python Take 1

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

Time Series Model for Nonresidential Construction Spending 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 Nonresidential Construction Spending dataset is a time series situation where we are trying to forecast future… Read More

Binary Classification Model for Rain in Australia Using TensorFlow Take 4

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 Rain in Australia dataset is a binary classification situation where we are… Read More

Binary Classification Model for Rain in Australia Using TensorFlow Take 3

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 Rain in Australia dataset is a binary classification situation where we are… Read More

Binary Classification Model for Rain in Australia Using Python Take 2

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 Rain in Australia dataset is a binary classification situation where we are… Read More

Binary Classification Model for Rain in Australia Using Python Take 1

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 Rain in Australia dataset is a binary classification situation where we are… Read More

Binary Classification Model for Springleaf Marketing Response Using TensorFlow Take 6

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 Springleaf Marketing Response dataset is a binary classification situation where we are… Read More

Binary Classification Model for Springleaf Marketing Response Using TensorFlow Take 5

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 Springleaf Marketing Response dataset is a binary classification situation where we are… Read More

Binary Classification Model for Springleaf Marketing Response Using TensorFlow Take 4

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 Springleaf Marketing Response dataset is a binary classification situation where we are… Read More