In this video, we will see a demonstration on Pods with YAML.
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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...

The school has been closed for the last 3 days due to a harsh snowstorm. During those 3 days the average snowfall was 9 inches per day. What is the total snowfall for these days? How does this total compare to the snowstorm of last year...

Let's quickly implement Random Forest using the sklearn Random Forest model to tune the model's performance according to the project.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning:...

You will learn about the different data formats in machine learning, including structured (labeled or unlabeled) and unstructured data, and how to choose the best format.
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This clip is from the chapter "Introduction to Machine...

In this lesson, we will dive into the hardcore process of machine learning and the fundamental elements used in machine learning, like datasets, training and testing data, outliers, models, and so on.
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This clip is from the...

In this video, we will cover machine learning model.
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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...

This is the third part of the three-part video that demonstrates how to perform disk management with the file systems.
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This clip is from the chapter "Disk Management" of the series "Linux Administration Bootcamp: Go from...

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

In this video, we will learn about services.<br/<br/>>

This clip is from the chapter "Services" of the series "Kubernetes for the Absolute Beginners - Hands-On".In this section, we will learn more about NodePort and ClusterIP services.

This video explains the DNN training parameters.
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This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview...

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

In this video, we will talk about some helper functions for plotting and drawing lines for data visualization and reading.
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This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for...

This video explains the Matplotlib library.<br<br/>/>

This clip is from the chapter "Advanced Level: Data Science" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the advanced level: data science.

This video helps to create the Age Calculator (total days and seconds lived).
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This clip is from the chapter "Applications with Python GUI" of the series "Python in Practice - 15 Projects to Master Python".This section focuses...

Often JavaScript apps interact with other sites and services to obtain data, like maps or transit data. In this video, Mark will show you how to use fetch() to retrieve data from other apps.

In this lesson, you will learn about the second primary data structure called Pandas Data Frame, which is a tabular data structure. We will understand the data frame and its operability. We will also learn about the Pandas...

This video explains sending emails messages thread updates with GmailApp Gmail service functions.
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This clip is from the chapter "Google Workspace Services: Docs, Calendar, Drive, Forms, Gmail, and Sheets Slides" of the series...

In this video, you will learn how to define the classifier.
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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 about...

This video explains the Pandas series.<br<br/>/>

This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.

This video demonstrates the difference between RL and other ML frameworks.
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This clip is from the chapter "Motivation and Applications" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This...

In this video, we will cover clustering.
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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 section, we will...

In this video, we will cover classification training process and prediction probabilities.
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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...

This video demonstrates how to create a stacked column chart in Power BI.
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This clip is from the chapter "Basic Charts in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section...

In this video, we will cover supervised learning.
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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 section,...