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

# Multi-Class Image Classification Deep Learning Model for Textile Defect Detection 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 Textile Defect Detection dataset is a multi-class classification situation where we attempt to predict… Read More

# Algorithmic Trading Model for Trend-Following with APO Indicator 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

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

# Multi-Class Image Classification Deep Learning Model for Textile Defect Detection 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 Textile Defect Detection dataset is a multi-class classification situation where we attempt to predict… Read More

# Algorithmic Trading Model for Trend-Following with APO Indicator Strategy Using Python Take 1

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

# Binary-Class Image Classification Deep Learning Model for Malaria Parasite Detection Using TensorFlow Take 4

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 Malaria Parasite Detection dataset is a binary-class classification situation where we attempt to predict… Read More

# Binary-Class Image Classification Deep Learning Model for Malaria Parasite Detection 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 Malaria Parasite Detection dataset is a binary-class classification situation where we attempt to predict… Read More

# Algorithmic Trading Model for Trend-Following with MACD Indicator Strategy Using Python Take 3

# Binary-Class Image Classification Deep Learning Model for Malaria Parasite Detection 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 Malaria Parasite Detection dataset is a binary-class classification situation where we attempt to predict… Read More

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