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Financial Analysis - Build a ChatGPT Pairs Trading Bot - What Order Should I Take Your Courses In? (Part 2)
In this continuation video, explore the recommended order of taking the lessons in this learning program and how they are designed to provide a cohesive learning experience. This video will help you plan your learning effectively and...
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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 - Is This for Beginners or Experts? Academic or Practical? Fast or Slow-Paced?
Here, we will see an overview of the course content and its target audience, gain insights into whether this course is suitable for beginners or experts in financial analysis, whether it focuses more on academic or practical...
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Financial Analysis - Build a ChatGPT Pairs Trading Bot - How to Code Yourself (Part 1)
In this video, you will learn to write Python code from scratch for financial analysis with ChatGPT using pairs trading strategies. This video will cover fundamental coding concepts such as data types, variables, loops, conditional...
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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 - Concluding remarks
In this video, we will look at the concluding remarks of the course and recap what we learned through the course, briefly. This clip is from the chapter "Conclusion" of the series "Machine Learning: Random Forest with Python from...
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Machine Learning: Random Forest with Python from Scratch - Recap, Flow of Machine Learning Project
This video is a quick recap of what we have learned thus far, and we will also be working on a project called the Flow of Machine Learning. This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning:...
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Machine Learning: Random Forest with Python from Scratch - Classification versus Regression
Let's learn about the three modes of machine learning: classification, regression, and clustering. This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning: Random Forest with Python from...
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Machine Learning: Random Forest with Python from Scratch - Types of Learning
Here, we will understand the learning types, including supervised and unsupervised machine learning algorithms. This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning: Random Forest with Python...
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Machine Learning: Random Forest with Python from Scratch - Formats of Data
You will learn about the different data formats in machine learning, including structured (labeled or unlabeled) and unstructured data, and how to choose the best format. This clip is from the chapter "Introduction to Machine Learning"...
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Machine Learning: Random Forest with Python from Scratch - Accuracy and Error-1
This lecture explains accuracy and error in data when the predicted outcome is close to the expected result and when it is not defined as an error. This clip is from the chapter "Introduction to Machine Learning" of the series "Machine...
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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 - Introduction-Vertex AI
This video provides an introduction to the section. 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...
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Data Science Model Deployments and Cloud Computing on GCP - Introduction to ML Model Lifecycle
This video provides an introduction to the ML model lifecycle. This clip is from the chapter "Data Science Models with Google App Engine" of the series "Data Science Model Deployments and Cloud Computing on GCP".This section focuses on...
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Data Science Model Deployments and Cloud Computing on GCP - Serverless Versus Servers and Containerization
In this video, we compare serverless versus servers and containerization, discussing the differences between the two approaches and providing insights into when to use each one. This clip is from the chapter "Modern-Day Cloud Concepts"...
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The Ultimate ChatGPT Guide with React Native - Develop Mobile Apps - Introduction to the Course
This video helps in providing an overview of what the course entails and what students can expect to learn.
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Chatbots Development with Amazon Lex - Overview of AWS
In this lecture, we will look at Amazon Web Services, which is the most comprehensive and widely adopted web service. We will also discuss its functionality, Amazon Community, security, innovation pace, operational expertise, and more.
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Chatbots Development with Amazon Lex - Instructor Introduction
In this video, we will quickly know the instructor/author of the course and look at his qualifications and experience in delivering the course in this online mode.
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Deep Learning - Crash Course 2023 - TensorFlow - Subclassing Methods
In this video, you will learn about subclassing in TensorFlow, which allows us to create custom layers and models. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section,...
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Deep Learning - Crash Course 2023 - TensorFlow Advanced Tricks - Ways to Create Neural Networks
In this video, we will explore advanced ways to create neural networks using TensorFlow. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to...
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Deep Learning - Crash Course 2023 - Regression Problem
In this video, you will learn how to solve a regression problem using the Boston housing dataset. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn...
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Deep Learning - Crash Course 2023 - Implementing Multi-Class Classification Using Keras
In this video, you will learn how to implement the multi-class classification model using Keras. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how...
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Deep Learning - Crash Course 2023 - ReLU, SoftMax, and Cross Entropy
In this video, you will learn about ReLU, SoftMax, and Cross Entropy. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to implement deep learning...
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Deep Learning - Crash Course 2023 - Types of Problems
In this video, we will have a look at different types of problems like multi-class classification and regression. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section,...