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Introduction to FinTech Using R - An AI-Driven Strategy
In this video, we will look at an AI-driven strategy. This clip is from the chapter "Asset Pricing" of the series "Introduction to FinTech Using R".This section explains asset pricing.
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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 - 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 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 - Data Standardization - 2
In this video, we will understand when and how to apply standard Scaler with data standardization. This clip is from the chapter "Sigmoid Neuron Implement with Python" of the series "Deep Learning - Crash Course 2023".In this section,...
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Deep Learning - Crash Course 2023 - Data Standardization - 1
In this video, we will start working on data standardization with Sigmoid. This clip is from the chapter "Sigmoid Neuron Implement with Python" 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 - Download Dataset
In this video, you will learn how to download the UCI heart disease dataset. This clip is from the chapter "Sigmoid Neuron Implement with Python" 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 - Perceptron in Python
In this video, we will work on programming our Perceptron model in Python. This clip is from the chapter "Perceptron in Python" of the series "Deep Learning - Crash Course 2023".In this section, you will learn about Perceptron in Python.
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Deep Learning - Crash Course 2023 - Cleaning and Examining the data
In this video, you will learn how to clean and examine the data. This clip is from the chapter "Python for Data Science - Crash Course" of the series "Deep Learning - Crash Course 2023".In this section, we will have a quick refresher on...
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Deep Learning - Crash Course 2023 - Pandas Data Frame
In this video, you will learn about Pandas' two-dimensional data structure called dataframes. This clip is from the chapter "Python for Data Science - Crash Course" of the series "Deep Learning - Crash Course 2023".In this section, we...
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Deep Learning - Crash Course 2023 - Bias
In this video, you will learn about bias in neural networks. This clip is from the chapter "Getting the Basics Right" of the series "Deep Learning - Crash Course 2023".In this section, you will learn some basic terms used in deep learning.
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Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Dataset Usage
In this lesson, you will learn to develop our content-based filtering for the song project.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: User-Based Collaborative Filtering
In this lesson, we will discuss user-based collaborative filtering in machine learning for a recommender system.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Collaborative Filtering using KNN
This video demonstrates implementing a collaborative filter using the k-nearest neighbor algorithm.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Item-Based Filtering Data Preparation
In this video, you will learn to implement Python to develop item-based collaborative filtering using Pandas, NumPy, and Matplotlib.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Item-Based Collaborative Filtering
In this video, you will learn to use machine learning to develop item-based collaborative filtering.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Exploring Genres in Content-Based Filtering
After learning to explore genres, we will look at term frequency and inverse document frequency.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Data Manipulation for Content-Based Filtering
In this lesson, you will learn how to extract information from our dataset.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Data Preparation for Content-Based Filtering
In this lesson, you will learn to develop content-based filtering for a recommender system using Python.
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Recommender Systems Complete Course Beginner to Advanced - Basics of Recommender System: Data Partitioning
Here, we will look at data partitioning, represented as a URL.
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Recommender Systems Complete Course Beginner to Advanced - Basics of Recommender System: Offline Evaluation Techniques
In this video, you will learn about the evaluation technique and focus on the offline evaluation technique in this lecture.