Binary Classification Model for Springleaf Marketing Response 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 Springleaf Marketing Response dataset is a binary classification situation where we are… Read More

Binary Classification Model for Springleaf Marketing Response 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 Springleaf Marketing Response dataset is a binary classification situation where we are… Read More

Binary Classification Model for Springleaf Marketing Response 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 Springleaf Marketing Response dataset is a binary classification situation where we are… Read More

Regression Deep Learning Model for Song Year Prediction 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 prediction model using various machine learning algorithms and to document the end-to-end steps using a template. The Song Year Prediction dataset is a classic regression situation where we are… Read More

Regression Deep Learning Model for Song Year Prediction 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 prediction model using various machine learning algorithms and to document the end-to-end steps using a template. The Song Year Prediction dataset is a classic regression situation where we are… Read More

Time Series Model for California Labor Force Participation 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 California Labor Force Participation dataset is a time series situation where we are trying to… Read More

Regression Deep Learning Model for Song Year Prediction 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 prediction model using various machine learning algorithms and to document the end-to-end steps using a template. The Song Year Prediction dataset is a classic regression situation where we are… Read More

Regression Deep Learning Model for Song Year Prediction Using TensorFlow 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 prediction model using various machine learning algorithms and to document the end-to-end steps using a template. The Song Year Prediction dataset is a classic regression situation where we are… Read More

Web Scraping of O’Reilly Software Architecture Conference 2020 New York Using Python

SUMMARY: The purpose of this project is to practice web scraping by extracting specific pieces of information from a website. The web scraping Python code leverages the BeautifulSoup module. INTRODUCTION: The Software Architecture Conference covers the full range of topics in the software architecture discipline. Those topics include leadership and business skills, product management, and… Read More