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 explains how to use inheritance in Java.
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This clip is from the chapter "Java Object Oriented Programming System (OOPS) Basic for Selenium Part - 1" of the series "Selenium WebDriver with Java - Basics to Advanced...

This video focuses on AWS Glue studio.
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This clip is from the chapter "Domain 3: Processing" of the series "AWS Certified Data Analytics Specialty 2021 "Hands-On!".In this section, we will complete our “order history app”...

In this video, we will understand why transfer learning.
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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 random variables examples.
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This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and...

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,...

In this video, we will cover categorical features.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...

In this video, we will cover handling text 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 this section,...

In this video, we will work on visualization and results.
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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...

In this video, you will learn how to train our neural network.
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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, you will learn how to implement logistic regression.
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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 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 lesson, we will explore how to use prompt engineering and extra features in Chat GPT with Excel. We will learn how to adjust variables and features to receive specific responses, how to create taglines for different countries,...

In this lesson, we explore the advanced features and variables that can be adjusted in Google Sheets when using the ChatGPT add-on. We will learn how to adjust prompts, values, and temperature according to our needs and how to use the...

In this video, we explore the fascinating world of deimatic behavior in animals. Deimatic behavior involves the use of surprise and dramatic displays, such as eyespots, to startle and deter predators. This video provides insights into...

The last thing you need to install is Node.js. You'll be using Node.js to create web servers, compile files, and much more!
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This clip is from the chapter "Setting up Your Environment" of the series "The Complete React...

This video provides an overview of the course.<br/<br/>>

This clip is from the chapter "Course Introduction" of the series "Vim Masterclass".This section introduces the course.

New Features: Java New Features - Java 5, 6, 7 and 8
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This clip is from the chapter "New Features" of the series "Java Interview Guide : 200+ Interview Questions and Answers".In this section, you will learn the new features...

In this video, you will learn about the components of Convolutional Neural Networks.
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This clip is from the chapter "Convolutional Neural Networks (CNN)" of the series "Python for Deep Learning — Build Neural Networks in...

This video provides an introduction to the section.
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This clip is from the chapter "Create a Web Application on Your Raspberry Pi with Flask and Python" of the series "Raspberry Pi for Beginners - 2022 Complete Course".This...

This video explains Naive Bayes - employee attrition case study.
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This clip is from the chapter "Naive Bayes Probability Model" of the series "Practical Data Science Using Python".This section explains Naive Bayes probability...

This video explains logistic regression - build the logistic model.<br<br/>/>

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

This video explains how to apply binning on funded amount.<br<br/>/>

This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains Exploratory Data Analysis.

This video explains decision tree - hyperparameter tuning.
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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...