by David Lowe

Binary Classification Model for Customer Transaction Prediction Using Python (Decision Trees with Full Features)

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 Santander Bank Customer Transaction Prediction competition is a binary classification situation where… Read More

by David Lowe

Binary Classification Model for Customer Transaction Prediction Using Python (Logistic Regression with Full Features)

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 Santander Bank Customer Transaction Prediction competition is a binary classification situation where… Read More

by David Lowe

Kaggle Competition: Banco Santander Customer Transaction Prediction

If you are new to Python machine learning like me, you might find the current Kaggle competition “Santander Customer Transaction Prediction” interesting. The competition is essentially a binary classification problem with a decently large dataset (200 attributes and 200,000 rows of training data). I have not participated in Kaggle competition before and will use this… Read More

by David Lowe

Multi-Class Classification Model for Human Activities and Postural Transitions Using R 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 Human Activities and Postural Transitions dataset is a classic multi-class classification situation… Read More

by David Lowe

Web Scraping of Quotes from Famous People using BeautifulSoup Take 1

SUMMARY: The purpose of this project is to practice web scraping by gathering specific pieces of information from a website. The web scraping code was written in Python and leveraged the BeautifulSoup module. INTRODUCTION: A demo website, created by Scrapinghub, lists quotes from famous people. It has many endpoints showing the quotes in different ways,… Read More

by David Lowe

Multi-Class Classification Model for Human Activities and Postural Transitions Using Python 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 Human Activities and Postural Transitions dataset is a classic multi-class classification situation… Read More

by David Lowe

Multi-Class Classification Model for Human Activities and Postural Transitions Using R 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 Human Activities and Postural Transitions dataset is a classic multi-class classification situation… Read More

by David Lowe

Multi-Class Classification Model for Human Activities and Postural Transitions Using Python 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 Human Activities and Postural Transitions dataset is a classic multi-class classification situation… Read More