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

# Binary-Class Image Classification Model for Concrete Crack Images Using Python and TensorFlow Take 1

# 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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