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Financial Analysis - Build a ChatGPT Pairs Trading Bot - Pairs Trading Test
In this video, we will conduct a pairs trading test to validate the performance and effectiveness of our strategy with ChatGPT into specific techniques and statistical tests to evaluate the performance of our pairs trading strategy with...
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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...
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Machine Learning: Random Forest with Python from Scratch - Using Pandas for Random Forest (2)
This is a continuation of the previous lesson, and here we will look at conditionally selecting values from a dataset. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python...
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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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Data Science Model Deployments and Cloud Computing on GCP - Lab - Final Solution Deployment Using Workflow and App Engine
In this lab, we will deploy the final solution for fraud detection using Workflow and App Engine. By the end of this lab, you will have a better understanding of how to use Workflow and App Engine to deploy machine learning solutions for...
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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,...
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Deep Learning - Crash Course 2023 - Keras Basics
In this video, we will revisit the code and understand some Keras basics. Additionally, you will find a deep learning neural networks assignment in the code bundle. This clip is from the chapter "Applying Deep Learning" of the series...
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Deep Learning - Crash Course 2023 - Moving from Shallow Learning to Deep Learning
In this video, we will be introduced to shallow learning. 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 on common...
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Deep Learning - Crash Course 2023 - Common Network Configuration
In this video, we will look at the common network configuration that we will be using whenever performing the common deep learning task. This clip is from the chapter "Activation Functions in Deep Learning Neural Networks" of the series...
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Deep Learning - Crash Course 2023 - Various Activation Functions
In this video, we will have an in-depth look at different activation functions provided in the TensorFlow library using Google Colab. This clip is from the chapter "Activation Functions in Deep Learning Neural Networks" of the series...
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Deep Learning - Crash Course 2023 - Activation Functions in Deep Learning Neural Networks - Introduction
In this video, we will have a quick introduction to activation functions for deep learning neural networks. This clip is from the chapter "Activation Functions in Deep Learning Neural Networks" of the series "Deep Learning - Crash Course...
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Deep Learning - Crash Course 2023 - Summary-2
In this video, we will summarize the key concepts covered in the section and prepare for the next section of the course. This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep Learning - Crash Course...
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Deep Learning - Crash Course 2023 - Training Evaluation
In this video, we will evaluate the performance of the trained neural network using various performance metrics and techniques. This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep Learning - Crash Course...
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Deep Learning - Crash Course 2023 - Training the Neural Network
In this video, you will learn about training the neural network by selecting the right hyperparameters, choosing the right optimization algorithm, and evaluating the performance of the model. This clip is from the chapter "Deep Learning...
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Deep Learning - Crash Course 2023 - Create First Neural Network with TensorFlow
In this video, we will create our first neural network using TensorFlow, and also understand the various steps involved in creating the neural network. This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep...
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Deep Learning - Crash Course 2023 - Building a Neural Network with TensorFlow
In this video, we will start building a neural network with TensorFlow by defining the layers, activation functions, and optimization techniques. This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep...
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Deep Learning - Crash Course 2023 - Introducing TensorFlow
In this video, we will be introduced to TensorFlow. This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep Learning - Crash Course 2023".In this section, we will dive into deep learning with TensorFlow 2.x.
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Deep Learning - Crash Course 2023 - Quick Recap on Deep Learning
In this video, we will have a quick recap on what we have learned about deep learning so far. This clip is from the chapter "Deep Learning with TensorFlow 2.x" of the series "Deep Learning - Crash Course 2023".In this section, we will...
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Deep Learning - Crash Course 2023 - Challenges in Creating Deep Neural Networks from Scratch
In this video, we will discuss the challenges involved in creating deep neural networks from scratch. We will explore the common issues faced during the training process and learn how to overcome them. This clip is from the chapter...