Multi-Class Deep Learning Model for Forest Cover Type Using TensorFlow Take 6

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Forest Cover Type dataset is a multi-class classification situation where we are… Read More

Multi-Class Deep Learning Model for Forest Cover Type Using TensorFlow Take 5

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Forest Cover Type dataset is a multi-class classification situation where we are… Read More

Multi-Class Machine Learning Model for Forest Cover Type Using Scikit-learn Take 4

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Forest Cover Type dataset is a multi-class classification situation where we are… Read More

Algorithmic Trading Model for Exponential Moving Average Crossover Take 3

SUMMARY: The purpose of this project is to construct and test an algorithmic trading model and document the end-to-end steps using a template. INTRODUCTION: This algorithmic trading model uses the 20-day and 50-day exponential moving averages to generate trading signals. When the fast moving-average curve crosses above the slow moving-average curve, the strategy goes long… Read More

Algorithmic Trading Model for Exponential Moving Average Crossover Take 2

SUMMARY: The purpose of this project is to construct and test an algorithmic trading model and document the end-to-end steps using a template. INTRODUCTION: This algorithmic trading model uses the 20-day and 50-day exponential moving averages to generate trading signals. When the fast moving-average curve crosses above the slow moving-average curve, the strategy goes long… Read More

Algorithmic Trading Model for Exponential Moving Average Crossover Take 1

SUMMARY: The purpose of this project is to construct and test an algorithmic trading model and document the end-to-end steps using a template. INTRODUCTION: This algorithmic trading model uses the 20-day and 50-day exponential moving averages to generate trading signals. When the fast moving-average curve crosses above the slow moving-average curve, the strategy goes long… Read More

Web Scraping of SAS Global Forum 2020 Proceedings Using BeautifulSoup

SUMMARY: The purpose of this project is to practice web scraping by extracting specific pieces of information from a website. The web scraping python code leverages the BeautifulSoup module. INTRODUCTION: The SAS Global Forum covers the full range of topics in using SAS products and developing SAS solutions. This web scraping script will automatically traverse… Read More

Algorithmic Trading Model for Simple Moving Average Crossover Take 3

SUMMARY: The purpose of this project is to construct and test an algorithmic trading model and document the end-to-end steps using a template. INTRODUCTION: This algorithmic trading model uses the 20-day and 50-day simple moving averages to generate trading signals. When the fast moving-average curve crosses above the slow moving-average curve, the strategy goes long… Read More

Algorithmic Trading Model for Simple Moving Average Crossover Take 2

SUMMARY: The purpose of this project is to construct and test an algorithmic trading model and document the end-to-end steps using a template. INTRODUCTION: This algorithmic trading model uses the 20-day and 50-day simple moving averages to generate trading signals. When the fast moving-average curve crosses above the slow moving-average curve, the strategy goes long… Read More