Algorithmic Trading Model for Mean-Reversion vs. Trend-Following Strategy for an Individual Stock 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. INTRODUCTION: This algorithmic trading model compares a simple mean-reversion strategy with… Read More

Multi-Class Model for Kaggle Tabular Playground Series 2021 June 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 Kaggle Tabular Playground June 2021 dataset is a multi-class modeling situation where we attempt to predict… Read More

Multi-Class Model for Kaggle Tabular Playground Series 2021 June 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 June 2021 dataset is a multi-class modeling situation where we attempt to predict… Read More

Multi-Class Model for Kaggle Tabular Playground Series 2021 May 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 Kaggle Tabular Playground May 2021 dataset is a multi-class modeling situation where we attempt to predict… Read More

Multi-Class Model for Kaggle Tabular Playground Series 2021 May Using Python and TensorFlow

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 May 2021 dataset is a multi-class modeling situation where we attempt to predict… Read More

Multi-Class Model for Kaggle Tabular Playground Series 2021 May 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 May 2021 dataset is a multi-class modeling situation where we attempt to predict… Read More

Multi-Class Image Classification Deep Learning Model for Fruits-360 Images 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 Fruits-360 Images dataset is a multi-class classification situation where we attempt to predict one… Read More

Multi-Class Image Classification Deep Learning Model for Fruits-360 Images 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 Fruits-360 Images dataset is a multi-class classification situation where we attempt to predict one… Read More

Multi-Class Image Classification Deep Learning Model for Fruits-360 Images 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 Fruits-360 Images dataset is a multi-class classification situation where we attempt to predict one… Read More

Multi-Class Image Classification Deep Learning Model for Fruits-360 Images 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 Fruits-360 Images dataset is a multi-class classification situation where we attempt to predict one… Read More