by David Lowe

Multi-Class Image Classification Model for Colorectal Cancer Histology 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 Colorectal Cancer Histology dataset is a multi-class classification situation where we attempt to predict… Read More

by David Lowe

NLP Model for Movie Review Sentiment Analysis Using Python 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 text classification model using a neural network and document the end-to-end steps using a template. The Movie Review Sentiment Analysis dataset is a binary classification situation where we attempt to predict one… Read More

by David Lowe

Multi-Class Image Classification Model for Colorectal Cancer Histology 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 Colorectal Cancer Histology dataset is a multi-class classification situation where we attempt to predict… Read More

by David Lowe

Algorithmic Trading Model for Naïve Momentum Strategy Using Python

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. We will test trading models with the naïve momentum strategy. INTRODUCTION:… Read More

by David Lowe

Multi-Class Image Classification Deep Learning Template v1 using TensorFlow

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

by David Lowe

Binary Image Classification Deep Learning Template v1 using TensorFlow

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

by David Lowe

Multi-Class Deep Learning Model for Sign Language MNIST Using TensorFlow Take 2

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The Sign Language MNIST dataset is a multi-class classification situation where we attempt to predict one of… Read More

by David Lowe

Multi-Class Deep Learning Model for Sign Language MNIST Using TensorFlow Take 1

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The Sign Language MNIST dataset is a multi-class classification situation where we attempt to predict one of… Read More

by David Lowe

Time Series Model for Chicago Live Births in the USA Using Python and ARIMA

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: This project aims to construct a time series prediction model and document the end-to-end steps using a template. Live Births in the United States dataset is a time series situation where we attempt to forecast future outcomes based… Read More

by David Lowe

Multi-Class Classification Model for Sign Language MNIST Using Python and XGBoost

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 various machine learning algorithms and document the end-to-end steps using a template. The Sign Language MNIST dataset is a multi-class classification situation where we attempt to predict one of… Read More