This video introduces the section.<br/<br/>>

This clip is from the chapter "[New!] Hooks, Context, Fragments, and More" of the series "The Complete React Developer Course (with Hooks and Redux)".null

Introduction: Introduction
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This clip is from the chapter "Introduction" of the series "Mockito Tutorial: Learn mocking with 25 Junit Examples".In this section, we are introduced to the course and the author lets us know...

In this video, we'll be looking at an overview of different Spring Boot starter projects.
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This clip is from the chapter "Introduction to Spring Boot in 10 Steps" of the series "Master Hibernate and JPA with Spring Boot in...

This video presents an introduction to Cucumber.
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This clip is from the chapter "Maven and Cucumber Basics" of the series "REST API Automation Testing from Scratch - REST Assured Java".This section presents the basics of...

DRAM varies in other ways, such as single-sided or double-sided DRAM. Different motherboards may or may not be able to take advantage of these features. This clip is from the chapter "RAM" of the series "CompTIA A+ Certification...

Portable computers use the Function key (Fn) to activate alternative features of the Function keys (F1-F12) for laptop features. These include screen sharing, power settings, audio options, and more. The Settings app in Windows enables...

Understanding some of the new features and changes in Splunk 8.0

• Locate the Splunk release notes in the Splunk document
ation
• Understand some of the changes in
Splunk 8.0
• Learn about the Pytho
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3.7...

In this video, you will learn about the various powerful tools available for numerical and statistical analysis on Pandas. We will look at the described () method, minimum and maximum values, and obtain the mean, median, variance, and...

Mark introduces you to the unique style of this Photoshop course and reviews some tips for success.

This video demonstrates PCA using Python.<br<br/>/>

This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality reduction using PCA.

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 explains the train-rest split and feature scaling.<br<br/>/>

This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.

This video explains linear regression car price prediction.<br<br/>/>

This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.

This video explains linear regression - practical approach.<br<br/>/>

This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.

This lecture explains the rules that make a story a fantastic way to capture requirements.
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This clip is from the chapter "User Story Principles" of the series "Agile Project Management".This section explains user story...

This video explains how to use average velocity and calculate the number of Sprints in the release.
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This clip is from the chapter "Release Planning and Using Velocity" of the series "Agile Project Management".This section...

This video explains how to meet a project deadline.
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This clip is from the chapter "Meeting Project Deadline with Agile Scrum" of the series "Agile Project Management".This section introduces you to meeting project deadlines...

In this video, we will discuss our final project, which classifies the titanic dataset using Random Forest.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python...

In this lesson, we will look at the various Agile methods including extreme programming, lean software development, dynamic system development method, feature driven development, and Kanban.
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This clip is from the chapter "Why...

This video explains finding TF and IDF in extracted features from text data, that is, text analytics.
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This clip is from the chapter "Artificial Intelligence" of the series "Python in Practice - 15 Projects to Master...

This video explains the advantages and importance of Git branches.
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This clip is from the chapter "Git and GitHub – Version Control System" of the series "Selenium WebDriver Advanced - Industry Standard Framework".In this...

This video explains about the implementation of batch normalization.
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This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section...

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 unsupervised learning.
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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...