Tag: Project

Written by David Lowe

Simple Classification Model for Text Messages

Methodology Credit: Re-produced and adapted from a tutorial made available by Anish Singh Walia, Text Message Classification. Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Data Set Description: https://www.kaggle.com/uciml/sms-spam-collection-dataset Original Reference: http://www.dt.fee.unicamp.br/~tiago/smsspamcollection/ Modeling Approach: binary classification The SMS Spam Collection is a set of SMS tagged messages […]

Written by David Lowe

Simple Classification Model for the Sonar Dataset

Template Credit: Adapted from templates made available by Dr. Jason Brownlee of Machine Learning Mastery. For more information on this case study project, please consult Dr. Brownlee’s blog post at https://machinelearningmastery.com/standard-machine-learning-datasets/. Dataset Used: Connectionist Bench (Sonar, Mines vs. Rocks) Data Set ML Model: Classification, numeric inputs Dataset Reference: https://archive.ics.uci.edu/ml/datasets/Connectionist+Bench+%28Sonar%2C+Mines+vs.+Rocks%29 The Sonar Dataset involves the prediction […]

Written by David Lowe

Simple Classification of Titanic Dataset, Take 3

Methodology Credit: Adapted from a tutorial made available by Trevor Stephens, Titanic: Getting Started With R. Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Data Set Description: https://www.kaggle.com/c/titanic/data Benchmark References: https://www.kaggle.com/c/titanic/data For the take #3 version of the project, we will add the fourth and fifth iterations […]

Written by David Lowe

Simple Classification of Titanic Dataset, Take 2

Methodology Credit: Adapted from a tutorial made available by Trevor Stephens, Titanic: Getting Started With R. Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Data Set Description: https://www.kaggle.com/c/titanic/data Benchmark References: https://www.kaggle.com/c/titanic/data For the take #2 version of the project, we will add the fourth and fifth iterations […]

Written by David Lowe

Simple Binary Classification for Breast Cancer with Ensemble Models

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Data Set Description: https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Original) Benchmark References: https://www.kaggle.com/uciml/breast-cancer-wisconsin-data Modeling Approach: binary classification, converting categorical to numerical attributes Working through machine learning problems from end-to-end requires a structured modeling approach. Working problems through a project template can encourage you to think […]

Written by David Lowe

Simple Regression Model for Boston Housing Price

Credit: Template and study cases were adapted from blog posts made available by Dr. Jason Brownlee of Machine Learning Mastery. For more information on this case study project, please consult Dr. Brownlee’s blog post at https://machinelearningmastery.com/regression-machine-learning-tutorial-weka/. Dataset Used: Housing Values in Suburbs of Boston ML Model: Regression, numeric inputs Dataset Reference: https://archive.ics.uci.edu/ml/datasets/Housing The purpose of […]

Written by David Lowe

R Project Template with Iris Dataset

Working through machine learning problems from end-to-end requires a structured modeling approach. Working problems through a project template can encourage you to think about the problem more critically, to challenge your assumptions, and to get good at all parts of a modeling project. The project and the output can be found on this page.