Curated Video
Deep Learning - Recurrent Neural Networks with TensorFlow - Outline
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. This clip is from the chapter "Welcome" of the series "Deep...
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Financial Analysis - Build a ChatGPT Pairs Trading Bot - What Order Should I Take Your Courses In? (Part 1)
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...
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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 - How to Install NumPy, SciPy, Matplotlib, Pandas, IPython, Theano, and TensorFlow
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...
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Financial Analysis - Build a ChatGPT Pairs Trading Bot - ChatGPT Knows Who I Am
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...
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Machine Learning: Random Forest with Python from Scratch - Recursion
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. This clip is from the chapter "Random Forest Step-by-Step" of the...
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Machine Learning: Random Forest with Python from Scratch - Quick Implementation of Random Forest Model
Let's quickly implement Random Forest using the sklearn Random Forest model to tune the model's performance according to the project. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...
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Machine Learning: Random Forest with Python from Scratch - Using Pandas for Random Forest (1)
This video introduces us to Pandas data structures and analysis tools, which help make data easy to handle and intuitive. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with...
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Machine Learning: Random Forest with Python from Scratch - Using NumPy for Random Forest
In this lesson, you will learn about the NumPy tool available in the Python library and look at the advantages of using NumPy. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with...
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The Front-End Web Developer Bootcamp - HTML, CSS, JS, and React - Commenting Out Code in HTML5
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...
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Concurrent and Parallel Programming in Python - Combining Async and Multiprocessing
Combining Async and Multiprocessing
Curated Video
Concurrent and Parallel Programming in Python - Multiprocessing Pool Map Multiple Arguments
Let's learn how to pass multiple arguments, passing lists instead of elements in a list or class while executing a code.
Curated Video
Concurrent and Parallel Programming in Python - Threading, Multiprocessing, Async Introduction
In this video, we will be introduced to threading, multiprocessing, and asynchronous programs and the different considerations of choosing Python for coding.
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Hands-On Continuous Integration and Automation with Jenkins - CD Pipeline – Test and Deploy to Stage
This video adds unit tests for the Python code, deploys the application to a staging environment, and tests the deployments with user acceptance tests.
Curated Video
Hands-On Continuous Integration and Automation with Jenkins - Docker Commands
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.
Curated Video
Hands-On Continuous Integration and Automation with Jenkins - CD Pipeline Overview and Intro to Docker
This video gives an overview of the CD pipeline, shows the web application deployed via the CD pipeline, and introduces Docker.
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The Complete Solidity Course - Zero to Advanced for Blockchain and Smart Contracts - Mapping in Solidity
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 the...
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The Complete Solidity Course - Zero to Advanced for Blockchain and Smart Contracts - Exercise - Reconfigure a Solidity Smart Contract
This is an exercise video on reconfiguring a Solidity smart contract. This clip is from the chapter "Introduction to Solidity (For the Complete Beginner)" of the series "The Complete Solidity Course - Zero to Advanced for Blockchain and...
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Data Science Model Deployments and Cloud Computing on GCP - Introduction to Kubeflow
This video provides an introduction to Kubeflow. This clip is from the chapter "Vertex AI - Machine Learning Framework" of the series "Data Science Model Deployments and Cloud Computing on GCP".In this section, we will explore Vertex AI....
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Data Science Model Deployments and Cloud Computing on GCP - Lab - Deploy Python Application Using HTTP Triggers
In this lab video, you will learn how to deploy a Python application using Google Cloud Functions triggered by HTTP requests. Cloud Functions is a powerful serverless platform that allows you to build scalable and event-driven...
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Data Science Model Deployments and Cloud Computing on GCP - Lab - Python App Deployment in a Flexible Environment
In this lab video, we will be exploring how to deploy a Python application in a flexible environment on Google Cloud platform using App Engine. This clip is from the chapter "Google App Engine - For Serverless Applications" of the series...
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Data Science Model Deployments and Cloud Computing on GCP - Lab - Deploy Python Application to App Engine - Part 1
This video is the first part of a two-part tutorial on deploying a Python application to Google App Engine. This clip is from the chapter "Google App Engine - For Serverless Applications" of the series "Data Science Model Deployments and...
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Data Science Model Deployments and Cloud Computing on GCP - App Engine - Different Environments
In this video, we explore the different environments available for Google App Engine applications. This clip is from the chapter "Google App Engine - For Serverless Applications" of the series "Data Science Model Deployments and Cloud...
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Data Science Model Deployments and Cloud Computing on GCP - Course Prerequisites
This video explains the course prerequisites that will help you navigate through the course smoothly. This clip is from the chapter "Course Introduction and Prerequisites" of the series "Data Science Model Deployments and Cloud Computing...