Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The Dry Bean Identification dataset is a multi-class modeling situation where we attempt to predict one of… Read More
Multi-Class Tabular Classification Model for Dry Bean Identification Using Python and Scikit-Learn
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The Dry Bean Identification dataset is a multi-class modeling situation where we attempt to predict one of… Read More
Binary-Class Image Classification Model for Concrete Crack Images Using Python and 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 Concrete Crack Images dataset is a binary-class modeling situation where we attempt to predict… Read More
Binary-Class Image Classification Model for Concrete Crack Images Using Python and 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 Concrete Crack Images dataset is a binary-class modeling situation where we attempt to predict… Read More
Binary-Class Image Classification Model for Concrete Crack Images Using Python and 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 Concrete Crack Images dataset is a binary-class modeling situation where we attempt to predict… Read More
Binary-Class Image Classification Model for Concrete Crack Images Using Python and 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 Concrete Crack Images dataset is a binary-class modeling situation where we attempt to predict… Read More
Binary-Class Image Classification Model for Concrete Crack Images Using Python and 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 Concrete Crack Images dataset is a binary-class modeling situation where we attempt to predict… Read More
Multi-Class Tabular Classification Model for Avila Bible Identification Using Python and TensorFlow
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The Avila Bible Identification dataset is a multi-class modeling situation where we attempt to predict one of… Read More
Multi-Class Tabular Classification Model for Avila Bible Identification Using Python and XGBoost
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The project aims to construct a predictive model using various machine learning algorithms and document the end-to-end steps using a template. The Avila Bible Identification dataset is a multi-class modeling situation where we attempt to predict one of… Read More
Univariate Time Series Model for Water Utility Consumers Using TensorFlow
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The project aims to construct a time series prediction model and document the end-to-end steps using a template. The Water Utility Consumers dataset is a univariate time series situation where we attempt to forecast future outcomes based on… Read More
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