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 Truck APS Failure dataset is a binary classification situation where we are… Read More
Binary Classification Model for Truck APS Failure Using TensorFlow Take 2
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 Truck APS Failure dataset is a binary classification situation where we are… Read More
Binary Classification Model for Truck APS Failure Using TensorFlow Take 1
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 Truck APS Failure dataset is a binary classification situation where we are… Read More
Binary Classification Model for Truck APS Failure 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 Truck APS Failure dataset is a binary classification situation where we are… Read More
Binary Classification Model for Truck APS Failure Using Scikit-Learn Take 3
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 Truck APS Failure dataset is a binary classification situation where we are… Read More
Binary Classification Model for Truck APS Failure Using Scikit-Learn Take 2
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. INTRODUCTION: The dataset consists of data collected from heavy Scania trucks in everyday usage. The system in focus is the Air Pressure system (APS), which generates pressurized air that supports functions such as braking and gear changes. The dataset’s… Read More
Binary Classification Model for Truck APS Failure Using Scikit-Learn Take 1
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 Truck APS Failure dataset is a binary classification situation where we are… Read More
Time Series Model for Yearly Copper Prices Using Python and ARIMA
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 time series prediction model and document the end-to-end steps using a template. The Yearly Copper Prices dataset is a time series situation where we are trying to forecast future… Read More
Multi-Class Classification Model for Crop Mapping in Canada Using TensorFlow Take 3
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 Crop Mapping in Canada dataset is a multi-class classification situation where we… Read More
Multi-Class Classification Model for Crop Mapping in Canada Using TensorFlow Take 2
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 Crop Mapping in Canada dataset is a multi-class classification situation where we… Read More
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