In this video, we will cover DNN training parameters.
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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 Bokeh Multiplots grid plot solution.
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This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning...

In this first video, we will understand our project goals. Next, we will explore the Iris dataset, then learn how to update and split the data.
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This clip is from the chapter "Final Project" of the series "Deep Learning - Deep...

In this video, we will learn about ReplicaSets.
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This clip is from the chapter "Kubernetes Concepts - Pods, ReplicaSets, Deployments" of the series "Kubernetes for the Absolute Beginners - Hands-On".In this section, we will...

In this video, we will see a demonstration on Deployments.
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This clip is from the chapter "Kubernetes Concepts - Pods, ReplicaSets, Deployments" of the series "Kubernetes for the Absolute Beginners - Hands-On".In this...

This video explains how to clean up Kubernetes YAML for microservices.
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This clip is from the chapter "Kubernetes with Microservices using Docker, Spring Boot, and Spring Cloud – V2" of the series "Master Microservices with...

After learning about the Data Frame, we will look into how to read .csv files, a common datasheet. You will also learn about the pd.read_csv() call function. The author provides learning datasets and how to solve issues by correcting...

Here, you will learn how to rename columns in a data frame. We will look at adding columns to a data frame, concatenating a data frame, and removing columns with the drop method.
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This clip is from the chapter "Data...

In this video, you will learn how to convert String data to a category and discretize a continuous variable and convert it into a categorical feature.
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This clip is from the chapter "Data Preprocessing" of the series "Pandas...

In this video, you will learn how to encode categorical data.
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This clip is from the chapter "Classification Algorithms: Decision Tree" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...

This video explains K-Means - model optimization.
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This clip is from the chapter "Unsupervised Learning - K-Means Clustering" of the series "Practical Data Science Using Python".This section explains unsupervised learning -...

This video focuses on image classification revisited.<br<br/>/>

This clip is from the chapter "YOLO" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on YOLO (You Only Live Once).

This video explains predicting whether it will rain or not and testing the predictions.
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This clip is from the chapter "Machine Learning with Python" of the series "Python in Practice - 15 Projects to Master Python".This...

This video demonstrates a deeper CNN, where you will build a much bigger number of trainable parameters. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...

This video explains the number card in Power BI.
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This clip is from the chapter "Cards and Filters in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section focuses on cards and...

This video demonstrates how to create a play axis in Power BI.
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This clip is from the chapter "Advanced Charts in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section focuses on...

In this video, we will cover image classification revisited.
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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 handling video and audio data.
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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 classification practice 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...

In this video, we will cover regression exercise solution.
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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...

In this video, we will cover machine learning model training exercise solution.
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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...

In this video, we will cover classification solution.
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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...

This video explains decision tree - learning steps.
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This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using decision...

In this video, you will learn about the number of predicted clusters.
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This clip is from the chapter "Clustering" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, you will learn...