This video explains creating models and storing eBooks in the database.
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This clip is from the chapter "eBook Web Store" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the eBook web...

This video helps in adding eBooks through the admin application.<br<br/>/>

This clip is from the chapter "eBook Web Store" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the eBook web store.

This video explains how to add data transfer objects.<br<br/>/>

This clip is from the chapter "Create API Endpoints" of the series "Minimal API Development with ASP.NET Core".This section focuses on creating API endpoints.

In this lesson, we will look at enhancing the MapPost and MapGet operations using the DTO model instead of the data model.
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This clip is from the chapter "Improving Your Minimal API" of the series "Hands-On .NET Minimal API...

This video explains how to define the data models.<br<br/>/>

This clip is from the chapter "Add Entity Framework" of the series "Minimal API Development with ASP.NET Core".This section introduces you to adding an entity framework.

In this video, you will learn about weighted sums.
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This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...

In this video, you will learn about neural network architecture.
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This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive...

In this video, you will learn about layers and DEEP networks.
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This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper...

In this video, we will work on non-linear boundaries and learn how to combine probabilities.
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This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this...

This video helps you with scoring validation dataset using code.
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This clip is from the chapter "SAS Predictive Modeling, Evaluation Metrics" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data...

This video explains parameter estimates.
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This clip is from the chapter "SAS Predictive Modeling, Prepare the Input Variables" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section...

In this video, we will cover DNN weights initializations.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...

In this video, we will cover an introduction to artificial neural networks.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...

In this video, we will cover an introduction to Deep Neural Networks (DNN).
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and...

In this video, we will cover minimum-to-mean distance classifier from scratch- part 1.
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory...

In this video, we will cover machine translation.
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This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...

In this video, we will cover an introduction to Scikit-Learn.
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This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and...

In this video, we will cover models summary.
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This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section,...

In this video, we will cover an introduction to overfitting.
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...

In this video, we will cover data snooping and the test set.
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...

In this video, we will cover cross-validation with Python.
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...

In this video, we will cover extending to multiple layers.
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This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...

In this video, we will cover an introduction to better RNNs module.
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This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A...

In this video, we will cover a Python practical of the course.
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...