Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Dataset Used: Bike Sharing Dataset Dataset ML Model: Regression with numerical attributes Dataset Reference: https://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset For available performance benchmarks, please consult: https://www.kaggle.com/contactprad/bike-share-daily-data INTRODUCTION: Using the data generated by a bike sharing system, this project attempts to predict the daily… Read More
Regression Model for Bike Sharing Using R – Take 1
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Dataset Used: Bike Sharing Dataset Dataset ML Model: Regression with numerical attributes Dataset Reference: https://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset For available performance benchmarks, please consult: https://www.kaggle.com/contactprad/bike-share-daily-data INTRODUCTION: Using the data generated by a bike sharing system, this project attempts to predict the daily… Read More
Updated Machine Learning Template Using R
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 set of project templates that can be used to support regression ML problems using R. Version… Read More
Updated Machine Learning Template Using Python
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 set of project templates that can be used to support regression ML problems using Python. Version… Read More
Binary Classification Model for Bank Marketing Using Python, Take 3
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery (http://machinelearningmastery.com/) Dataset Used: Bank Marketing Dataset Dataset ML Model: Binary classification with numerical and categorical attributes Dataset Reference: http://archive.ics.uci.edu/ml/datasets/bank+marketing One source of potential performance benchmarks: https://www.kaggle.com/rouseguy/bankbalanced INTRODUCTION: The Bank Marketing dataset involves predicting the whether the bank clients will… Read More
Binary Classification Model for Bank Marketing Using R, Take 3
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery (http://machinelearningmastery.com/) Dataset Used: Bank Marketing Data Set Data Set ML Model: Binary classification with numerical and categorical attributes Dataset Reference: http://archive.ics.uci.edu/ml/datasets/bank+marketing One source of potential performance benchmarks: https://www.kaggle.com/rouseguy/bankbalanced INTRODUCTION: The Bank Marketing dataset involves predicting the whether the bank… Read More
Binary Classification Model for Bank Marketing Using R, Take 2
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery (http://machinelearningmastery.com/) Dataset Used: Bank Marketing Data Set Data Set ML Model: Binary classification with numerical and categorical attributes Dataset Reference: http://archive.ics.uci.edu/ml/datasets/bank+marketing One source of potential performance benchmarks: https://www.kaggle.com/rouseguy/bankbalanced INTRODUCTION: The Bank Marketing dataset involves predicting the whether the bank… Read More
Binary Classification Model for Bank Marketing Using Python, Take 2
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery (http://machinelearningmastery.com/) Dataset Used: Bank Marketing Dataset Dataset ML Model: Binary classification with numerical and categorical attributes Dataset Reference: http://archive.ics.uci.edu/ml/datasets/bank+marketing One source of potential performance benchmarks: https://www.kaggle.com/rouseguy/bankbalanced INTRODUCTION: The Bank Marketing dataset involves predicting the whether the bank clients will… Read More
Installing Jupyter and R on Fedora
This is a replication and extension to Dr. Jason Brownlee’s post. I am making these notes, so I can repeat the installation process at a later time. Step 1) Provision a Fedora instance using your favorite VM Manager. I happened to use VMware, but Dr. Brownlee’s VirtualBox worked just fine. I recommend fully patch the… Read More
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