Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using a TensorFlow convolutional neural network (CNN) and document the end-to-end steps using a template. The Intel Image Classification dataset is a multi-class classification situation where we attempt to predict… Read More

# Multi-Class Image Classification Deep Learning Model for Intel Image Classification Using TensorFlow Take 1

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using a TensorFlow convolutional neural network (CNN) and document the end-to-end steps using a template. The Intel Image Classification dataset is a multi-class classification situation where we attempt to predict… Read More

# Algorithmic Trading Model for Simple Trend-Following Strategy Using Python Take 4

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: This project aims 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 simple trend-following strategy for… Read More

# Algorithmic Trading Model for Simple Trend-Following Strategy Using Python Take 3

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: This project aims 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 simple trend-following strategy for… Read More

# Algorithmic Trading Model for Simple Trend-Following Strategy Using Python Take 2

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: This project aims 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 simple trend-following strategy for… Read More

# Natural Language Processing Deep Learning Templates v1 using Python

As I work on practicing and solving machine learning (ML) problems, I repeatedly find myself repeating a set of steps and activities. 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

# Multi-Class Image Classification Model for Kannada Handwritten Digits Using TensorFlow Take 3

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using a TensorFlow convolutional neural network (CNN) and document the end-to-end steps using a template. The Kannada Handwritten Digits dataset is a multi-class classification situation where we attempt to predict… Read More

# Algorithmic Trading Model for Simple Trend-Following Strategy Using Python Take 1

# Multi-Class Image Classification Model for Kannada Handwritten Digits Using TensorFlow Take 2

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using a TensorFlow convolutional neural network (CNN) and document the end-to-end steps using a template. The Kannada Handwritten Digits dataset is a multi-class classification situation where we attempt to predict… Read More

# Multi-Class Image Classification Model for Kannada Handwritten Digits Using TensorFlow Take 1

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a predictive model using a TensorFlow convolutional neural network (CNN) and document the end-to-end steps using a template. The Kannada Handwritten Digits dataset is a multi-class classification situation where we attempt to predict… Read More