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Deep Learning - Computer Vision for Beginners Using PyTorch - Matplotlib Introduction
In this video, we will get introduced to Matplotlib. This clip is from the chapter "Optional Learning - Python for Data Science - with Matplotlib" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this...
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Deep Learning - Computer Vision for Beginners Using PyTorch - Pandas Library
In this video, you will learn about the Pandas library. This clip is from the chapter "Optional Learning - Python for Data Science - with Pandas" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this...
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Deep Learning - Computer Vision for Beginners Using PyTorch - Writing a Class
In this video, we will start writing the program for our classes and objects. This clip is from the chapter "Optional Learning - Mini Project with Python Basics" of the series "Deep Learning - Computer Vision for Beginners Using...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet Section Summary
In this video, we will summarize what we have learnt in this section. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we will...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - How Does Prophet Work?
In this video, we will understand concepts behind Facebook Prophet and understand how it works. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In...
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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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Recommender Systems: An Applied Approach using Deep Learning - Course Outline
This brief introductory video will cover the course contents and the concepts you will learn in this course. This clip is from the chapter "Introduction" of the series "Recommender Systems: An Applied Approach Using Deep Learning".This...
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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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Social Media Automation using Python - Introduction and Installation
In this video, you will learn to install and set up a software development kit called facebook-sdk 3.1.0. developed by the Python community, which is easy to use. This clip is from the chapter "Facebook Automation" of the series "Social...
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Social Media Automation using Python - Creating API Key
This video demonstrates how to create an API key. We will create a project and then use the YouTube API V3 library to enable it to create our API key. This clip is from the chapter "YouTube Automation" of the series "Social Media...
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Social Media Automation using Python - Introduction and Installations
This video will look at a library package created by the Python community, the python-youtube 0.8.3. You will learn to install the package and import the library to perform the tasks. This clip is from the chapter "YouTube Automation" of...
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Social Media Automation using Python - Installing and Importing
In this video, you will learn how to install the schedule library or the schedule 1. 1.0 version of the package from Python, and after installing the package, you will learn how to import the library for our tasks. This clip is from the...
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Social Media Automation using Python - Introduction and Installing the Toolkit
Let's understand how to install the WhatsApp toolkit and explore the settings and configurations to make WhatsApp secure and easier to use. This clip is from the chapter "WhatsApp Automation" of the series "Social Media Automation Using...
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Recommender Systems with Machine Learning - Dataset Usage
This video explains how to use the dataset to your advantage. This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This section...
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Recommender Systems with Machine Learning - Recommendation Engine
This video talks about the recommendation engine in detail. 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...
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Recommender Systems with Machine Learning - Data Preparation for Content-Based Filtering
This video explains data preparation for content-based filtering with machine learning. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section...
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Kafka for Developers - Data Contracts Using Schema Registry - Update the Code to Interact with Maven Local Repository - Gradle
In this video, we will code and learn about how to integrate our code to work with the Maven local repository. This clip is from the chapter "Data Evolution Using Schema Registry" of the series "Kafka for Developers - Data Contracts...
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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: Project Overview and Packages
After theoretically learning about chatbots, we will now develop a chatbot practically by importing the requisite libraries, TensorFlow NumPy, Keras, and Pickle. We will build a chatbot based on a story and make predictions of true or...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Project: Conversational Chatbot Development with Machine Learning: Tokenization
In this lesson, we will perform two types of tokenization, sentence tokenization and word tokenization, using the NLTK library. This clip is from the chapter "Basics of Chatbots with Machine Learning and Python" of the series "Chatbots...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Project: Conversational Chatbot Development with Machine Learning: Getting the Data
In this video, we will look at using the request library to seek out the webpage from which we want the information. In our case, we have chosen the web page or artificial intelligence. This clip is from the chapter "Basics of Chatbots...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Project: Conversational Chatbot Development with Machine Learning: Project Overview and Packages
In this lesson, we will go over the project conception in detail and install and import all the required libraries for the project, input the data, and perform other tasks to project completion. This clip is from the chapter "Basics of...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Project: Conversational Chatbot Development with Machine Learning: Module Introduction
This is a brief introductory video regarding the concepts learned in this module, including preparing and developing the conversational chatbot project using the NLTK library. This clip is from the chapter "Basics of Chatbots with...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Machine Learning-Based Chatbots
This video outlines what you will learn in the machine learning-based chatbots, including their architecture, purpose, Natural Language Toolkit, and rule-based chatbots with NLTK. We will work on a project with NLTK. This clip is from...