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Machine Learning: Random Forest with Python from Scratch - While Loop
Let's understand the while loop, a conditional loop that runs until a given condition is fulfilled. This clip is from the chapter "Introduction to Python" of the series "Machine Learning: Random Forest with Python from Scratch©".This...
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Machine Learning: Random Forest with Python from Scratch - For Loop
Let's understand the for loop and how it is used to iterate a sequence, which is a list, tuple, string, dictionary, or set. This clip is from the chapter "Introduction to Python" of the series "Machine Learning: Random Forest with Python...
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Machine Learning: Random Forest with Python from Scratch - Comparison Operators
Here, you will learn about Python's two types of operators, the comparison operator, and the logical operator. This clip is from the chapter "Introduction to Python" of the series "Machine Learning: Random Forest with Python from...
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Machine Learning: Random Forest with Python from Scratch - Dictionaries
Let's look at the final datatype, dictionaries, indexed, changeable, and unordered data collection. This clip is from the chapter "Introduction to Python" of the series "Machine Learning: Random Forest with Python from Scratch©".This...
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Machine Learning: Random Forest with Python from Scratch - Strings
Here, we will look at the second datatype, strings, which are characters, used to represent text instead of numbers. This clip is from the chapter "Introduction to Python" of the series "Machine Learning: Random Forest with Python from...
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Machine Learning: Random Forest with Python from Scratch - Numbers
This lesson will teach us about numbers, the first standard datatype in Python, used for arithmetic operations and storing information. This clip is from the chapter "Introduction to Python" of the series "Machine Learning: Random Forest...
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Git and GitHub Masterclass - The Practical Bootcamp - Git Clone: Any Repository
This video explains how to clone any repository on the Internet on Git. This clip is from the chapter "Git Clone" of the series "Git and GitHub Masterclass - The Practical Bootcamp".This section explains Git clone and how to clone your...
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Git and GitHub Masterclass - The Practical Bootcamp - Git README
A README is often the first item a visitor will see when visiting your repository. README files typically include information on what the project does and why the project is useful. This clip is from the chapter "Git Files" of the series...
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Deep Learning - Recurrent Neural Networks with TensorFlow - Suggestion Box
In this video, the author shares how you can get in touch with him through the suggestion box. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent...
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ChatGPT for Web Design - Create Amazing Websites - Starting Our Amazing Website
In this lesson, we will begin working on creating our amazing website, which we will eventually publish on our online hosting, but we will build the entire website using Visual Studio Code.
Curated Video
ChatGPT for Web Design - Create Amazing Websites - Where to Put the Code?
In this video, you will learn where to store the code, for which we will download and install Visual Studio Code, the IDE we will be using to store and edit the code to our requirements. You will learn to install the extensions required...
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ChatGPT for Web Design - Create Amazing Websites - Introduction to ChatGPT
In this video, you will learn about ChatGPT, a free service available on the OpenAI website. The video outlines what ChatGPT can do in general and the wide range of possibilities available on ChatGPT.
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Financial Analysis - Build a ChatGPT Pairs Trading Bot - Proof that Using Jupyter Notebook Is the Same as Not Using It
In this video, explore the advantages and disadvantages of using Jupyter Notebook. This video will provide evidence and examples illustrating the similarities and differences between Jupyter Notebook and other coding environments. This...
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Financial Analysis - Build a ChatGPT Pairs Trading Bot - Suggestion Box
In this video, we will utilize the suggestion box to seek suggestions, feedback, or improvements on our trading approach, coding techniques, or other areas of our pairs trading strategy. This video provides techniques for utilizing...
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Financial Analysis - Build a ChatGPT Pairs Trading Bot - Asking ChatGPT to Fix an Error
Let's learn to use the power of ChatGPT to fix errors or issues that may arise in our pairs trading strategy and to effectively communicate with ChatGPT to seek solutions or guidance on fixing trading errors, discrepancies, or challenges...
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Financial Analysis - Build a ChatGPT Pairs Trading Bot - More about Log Returns (Optional)
This video delves deeper into log returns, including their advantages and limitations compared to simple returns. You will learn to correctly apply log returns in your pairs trading analysis and interpret returns of pairs trading with...
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Financial Analysis - Build a ChatGPT Pairs Trading Bot - Project Scope
In this video, we will explore the course scope covered, including the key concepts, techniques, and tools utilized to complete the learning process, giving a clear roadmap for learning about using ChatGPT in financial analysis with...
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Modern JavaScript from the Beginning - Second Edition - Running JavaScript in the Browser
In this video, we will explain how to run JavaScript code in the browser with a simple Hello World code. This clip is from the chapter "Course Introduction" of the series "Modern JavaScript from the Beginning".In this section, we will...
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Machine Learning: Random Forest with Python from Scratch - Accuracy and Error-2
In this video, you will learn to implement the accuracy method to help determine our model's performance. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python from...
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Machine Learning: Random Forest with Python from Scratch - How to Classify
Let's learn to write a classification method that will train our module and help us get predictions. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python from...
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Machine Learning: Random Forest with Python from Scratch - Leaf and Decision Node
In this lesson, you will learn to create two classes, a leaf node and a decision node, with a constructor. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python from...
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Machine Learning: Random Forest with Python from Scratch - Importing Data, Helper Functions
Before creating a decision tree, we will first learn to import our dataset using Pandas. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python from Scratch©".This section...
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Machine Learning: Random Forest with Python from Scratch - Structure
In this video, we will discuss the structures of a Random Forest, namely forest, tree, leaf node, and decision node. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python...
Curated Video
Machine Learning: Random Forest with Python from Scratch - Categorical to Numeric Conversion
In a machine, it understands values in the form of numbers. You will learn how to convert non-numeric data to numeric without changing the feature of the value. This clip is from the chapter "Random Forest Step-by-Step" of the series...