by David Lowe

Regression Model for Kaggle Tabular Playground Series 2021 Jan Using Python and Scikit-learn

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 Kaggle Tabular Playground Series 2021 Jan dataset is a regression situation where we are trying to… Read More

by David Lowe

Algorithmic Trading Model for Trend-Following with Bollinger Bands 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 mean-reversion strategy for… Read More

by David Lowe

Binary-Class Image Classification Deep Learning Model for PatchCamelyon Grand Challenge Using TensorFlow Take 5

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 PatchCamelyon Grand Challenge dataset is a binary-class classification situation where we attempt to predict… Read More

by David Lowe

Algorithmic Trading Model for Trend-Following with Bollinger Bands 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 mean-reversion strategy for… Read More

by David Lowe

Binary-Class Image Classification Deep Learning Model for PatchCamelyon Grand Challenge 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 PatchCamelyon Grand Challenge dataset is a binary-class classification situation where we attempt to predict… Read More

by David Lowe

Binary-Class Image Classification Deep Learning Model for PatchCamelyon Grand Challenge 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 PatchCamelyon Grand Challenge dataset is a binary-class classification situation where we attempt to predict… Read More

by David Lowe

Algorithmic Trading Model for Mean-Reversion with Relative Strength Indicator 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 mean-reversion strategy for… Read More

by David Lowe

Binary-Class Image Classification Deep Learning Model for PatchCamelyon Grand Challenge 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 PatchCamelyon Grand Challenge dataset is a binary-class classification situation where we attempt to predict… Read More

by David Lowe

Algorithmic Trading Model for Mean-Reversion with Relative Strength Indicator 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 mean-reversion strategy for… Read More

by David Lowe

Binary-Class Image Classification Deep Learning Model for PatchCamelyon Grand Challenge 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 PatchCamelyon Grand Challenge dataset is a binary-class classification situation where we attempt to predict… Read More