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Data Science - Time Series Forecasting with Facebook Prophet in Python - The Naive Forecast and the Importance of Baselines
In this video, we will discuss baselines and naïve forecast. This clip is from the chapter "Time Series Basics" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we will talk about...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Time Series Basics Section Introduction
In this video, we will get introduced to time series and understand some basics. This clip is from the chapter "Time Series Basics" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section,...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Introduction
In this video, we will introduce Facebook Prophet and understand the course learning objective. This clip is from the chapter "Welcome" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".Welcome to the...
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Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island - Pedometer Manager
This video explains the pedometer manager. This clip is from the chapter "iOS 16 Lock Screen Widget" of the series "Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island".This section explains the lock screen widget.
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Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island - Stocks App Introduction and Model
This video explains a stock app widget. This clip is from the chapter "Custom Configuration Widget" of the series "Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island".This section explains the custom configuration widget.
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Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island - Exchange Rate Model
This video explains the exchange rate model. This clip is from the chapter "Deep Links in Widgets" of the series "Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island".This section explains deep links in widgets.
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Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island - Pedometer App Folder
This video explains the pedometer app folder. This clip is from the chapter "iOS 16 Lock Screen Widget" of the series "Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island".This section explains the lock screen widget.
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Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island - Country Model
This video explains the country model. This clip is from the chapter "Deep Links in Widgets" of the series "Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island".This section explains deep links in widgets.
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CompTIA A+ Certification Core 1 (220-1101) - CPU Generations and Architecture
By now you are probably wondering what that alphabet soup of letters and numbers alongside a CPU name means. Understanding the nomenclature of CPU models will ensure that you fully understand how they work. In this video, we are going to...
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Deep Learning - Convolutional Neural Networks with TensorFlow - Transfer Learning Code (Part 1)
In this video, we will dive into action and look at codes for transfer learning with data augmentation. This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning - Convolutional Neural Networks...
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Deep Learning - Convolutional Neural Networks with TensorFlow - Transfer Learning Theory
In this video, we will get introduced to the concept of transfer learning. This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this...
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Deep Learning - Convolutional Neural Networks with TensorFlow - Text Classification with CNNs
In this video, we will move into action and work on text classification with CNNs. This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this...
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Deep Learning - Convolutional Neural Networks with TensorFlow - Improving CIFAR-10 Results
In this video, you will learn how to improve CIFAR-10 results using data augmentation and batch normalization. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural...
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Deep Learning - Convolutional Neural Networks with TensorFlow - Data Augmentation
In this video, you will learn about data augmentation. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, we will cover a...
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Deep Learning - Convolutional Neural Networks with TensorFlow - CNN for Fashion MNIST
In this video, we will start with implementing CNN with the fashion MNIST dataset. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this...
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Deep Learning - Convolutional Neural Networks with TensorFlow - CNN Code Preparation
In this video, we will look at the code preparation we will use for CNN and understand it. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with...
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Deep Learning - Convolutional Neural Networks with TensorFlow - 2 Approaches to Transfer Learning
In this video, we will discuss the two approaches used for transfer learning, which we will use in the next videos. This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning - Convolutional Neural...
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Deep Learning - Convolutional Neural Networks with TensorFlow - Batch Normalization
In this video, you will learn about batch normalization. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, we will cover a...
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Recommender Systems: An Applied Approach using Deep Learning - Project Overview
This video outlines the project and will demonstrate how to install the packages required for the project, data preparation, using TensorFlow, evaluation, and recommendation. This clip is from the chapter "Project Amazon Product...
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Recommender Systems with Machine Learning - KNN Implementation-2
This video explains the implementation of KNN. This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine Learning".null
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Recommender Systems with Machine Learning - KNN Implementation-1
This video explains how to implement KNN. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of machine learning for the...
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Recommender Systems with Machine Learning - Data Partitioning
This video explains data partitioning. This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine Learning".This section focuses on the basics of recommender systems.
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Importing Libraries
This video demonstrates how to import step by step the four main libraries required for our project, including TensorFlow NumPy, Keras, and Pickle, and you will learn about importing Sequential and Model. This clip is from the chapter...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Steps Involved
In this lesson, you will learn about the various steps involved in developing chatbots based on deep learning techniques. We will install the required packages, define chat models and tokenization, and set up the encoder-decoder model....