Let's look at outliers, the data points of a dataset that differ from others and are usually excluded by visualizing a dataset.
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This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning:...

This brief video outlines machine learning, its importance, and how it can be used in various applications to make life easier.
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This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning:...

Let's look at the final datatype, dictionaries, indexed, changeable, and unordered data collection.
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This clip is from the chapter "Introduction to Python" of the series "Machine Learning: Random Forest with Python from...

This lesson will teach us about numbers, the first standard datatype in Python, used for arithmetic operations and storing information.
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This clip is from the chapter "Introduction to Python" of the series "Machine Learning:...

This video introduces us to Python's six data types: numbers, strings, lists, dictionaries, tuples, and sets.
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This clip is from the chapter "Introduction to Python" of the series "Machine Learning: Random Forest with Python...

This video will introduce you to Python, machine learning, and Random Forest and discuss the live implementations, quizzes, and projects.
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This clip is from the chapter "Introduction to the Course" of the series "Machine...

This lecture provides an overview of the benefits of enrolling in this course.
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This clip is from the chapter "Introduction to the Course" of the series "Machine Learning: Random Forest with Python from Scratch©".This section...

In this video, we will understand the course learning approach and what is required to start with this course. Then we will also understand what is covered in this course.
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This clip is from the chapter "Welcome" of the series...

In this video, we will see the recommended order of taking the lessons offered in this learning program, the logical progression of the course, and the optimal order to take the courses to maximize our learning and understanding of the...

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.
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Learn to install the essential Python libraries for financial analysis, including NumPy, SciPy, Matplotlib, Pandas, IPython, Theano, and TensorFlow. This video will provide the necessary setup to use these popular Python libraries for...

In this intriguing video, the author explores the capabilities of ChatGPT and adapts and personalizes its responses to our unique style and preferences into how ChatGPT can leverage data and insights about our priority for more...

In this video, you will learn about a complete implementation of the Random Forest using only Pandas to read the data and look at the results of the sklearn function.
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This clip is from the chapter "Random Forest Step-by-Step"...

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:...

This video introduces us to Pandas data structures and analysis tools, which help make data easy to handle and intuitive.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...

In this lesson, you will learn about the NumPy tool available in the Python library and look at the advantages of using NumPy.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...

In this video, we will explore the technique of commenting out code in HTML5 to add comments within our HTML files, providing explanations, temporarily disabling code sections, or troubleshooting issues while maintaining code readability...

Combining Async and Multiprocessing

Let's learn how to pass multiple arguments, passing lists instead of elements in a list or class while executing a code.

In this video, we will be introduced to threading, multiprocessing, and asynchronous programs and the different considerations of choosing Python for coding.

This video adds unit tests for the Python code, deploys the application to a staging environment, and tests the deployments with user acceptance tests.

This video shows the Dockerfile used by the CD pipeline, the Python code of the web application, and Docker commands to build an image and run a container.

This video gives an overview of the CD pipeline, shows the web application deployed via the CD pipeline, and introduces Docker.

In this video, we will cover one of the most important data structures in Solidity: mappings. Mappings are a way to associate values to unique keys and are used in many smart contracts for storing and retrieving data efficiently. By...