Updated Scikit-Learn Machine Learning Templates v15 for 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 I use to experiment with modeling ML problems using Python and… Read More

Deep Learning Template for Multi-Label Model Using TensorFlow Version 1

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Version 1 of the script will replicate Dr. Jason Brownlee’s blog post on this topic with some modifications. The desired output is to build a robust template for modeling future similar problems. You will find the Python time series… Read More

Multi-Class Deep Learning Model for AIR Lab iBeans 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 AIR Lab iBeans dataset is a multi-class classification situation where we are… Read More

Multi-Class Deep Learning Model for AIR Lab iBeans 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 AIR Lab iBeans dataset is a multi-class classification situation where we are… Read More

Multi-Class Deep Learning Model for AIR Lab iBeans 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 predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The AIR Lab iBeans dataset is a multi-class classification situation where we are… Read More

Multi-Class Deep Learning Model for AIR Lab iBeans Using TensorFlow 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 AIR Lab iBeans dataset is a multi-class classification situation where we are… Read More

Algorithmic Trading Model for Momentum and Mean-Reversion Moving Average Crossover Grid Search

NOTE: This script is for learning purposes only and does not constitute a recommendation for buying or selling any stock mentioned in this script. SUMMARY: The purpose of this project is to construct and test an algorithmic trading model and document the end-to-end steps using a template. INTRODUCTION: This algorithmic trading model examines a series… Read More

Multi-Class Deep Learning Model for Rock Paper Scissors 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 Rock Paper Scissors dataset is a multi-class classification situation where we are… Read More