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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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Recommender Systems with Machine Learning - Project Introduction-1
This video gives you an overview of the project. 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 focuses on your...
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Recommender Systems with Machine Learning - Guidelines for ML
This video demonstrates the guidelines for machine learning. 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 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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Recommender Systems with Machine Learning - Project Overview
This video discusses the projects you will be working on in the later sections of this course. This clip is from the chapter "Introduction" of the series "Recommender Systems with Machine Learning".This section provides an introduction...
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Linux Operating System: A Complete Linux Guide for Beginners - Linux File Editors (Nano Editor)
In this video, we will have a look at the nano editor. This clip is from the chapter "Working with Files and Directories" of the series "Linux Operating System: A Complete Linux Guide for Beginners".In this section, we will work with...
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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....
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Module Introduction
In this video, you will learn more about deep learning and the general architecture, chatbot development with deep learning, and its related concepts. This clip is from the chapter "Advanced Chatbots with Deep Learning and Python" of the...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Project: Conversational Chatbot Development with Machine Learning: Generate Response
We will import two libraries, tfidf, and cosine_similarity, and then use the TF-IDF vectorizer to generate chatbot responses based on the query input. This clip is from the chapter "Basics of Chatbots with Machine Learning and Python" of...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Project: Conversational Chatbot Development with Machine Learning: Lemmatization and Processed Text
In this video, we will look at the project's next step, the lemmatization process, using the WordNet lemmatizer and the NLTK library for the conversational chatbot. This clip is from the chapter "Basics of Chatbots with Machine Learning...
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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 - Machine Learning-Based Chatbots: Response Generation
In this video, we will define a generateResponse() function and define the expected user response from the chatbot. This clip is from the chapter "Basics of Chatbots with Machine Learning and Python" of the series "Chatbots for...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Machine Learning-Based Chatbots: Data Input
In this lesson, we will begin inputting the data that we will use for our rule-based chatbot. This clip is from the chapter "Basics of Chatbots with Machine Learning and Python" of the series "Chatbots for Beginners: A Complete Guide to...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Machine Learning-Based Chatbots: ML-Enabled Features
In this lesson, we will explore the enabling features of a machine learning-based chatbot, including scaling operations, task automation, user engagement, social media interaction, multilingual models, and connectivity. This clip is from...
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CISSP Crash Course - Operate Detective and Preventative Controls
This video explains firewalls and how to operate detective and preventative controls. This clip is from the chapter "Security Operations" of the series "CISSP Crash Course".This section covers domain 7, which focuses on security operations.
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CISSP Crash Course - Security Operations Concepts
This video explains security operations concepts and separation of duties. This clip is from the chapter "Security Operations" of the series "CISSP Crash Course".This section covers domain 7, which focuses on security operations.
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CISSP Crash Course - Collect Security Process Data
This video explains collecting security process data and account management and review. This clip is from the chapter "Security Assessment and Testing" of the series "CISSP Crash Course".This section covers domain 6, which focuses on...
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CISSP Crash Course - Identity Lifecycle
This video explains the identity and access lifecycle along with access review. This clip is from the chapter "Identity and Access Management" of the series "CISSP Crash Course".This section covers domain 5, which focuses on identity and...
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Master SQL for Data Analysis - Outer-Join
In this lesson, we will look at a situation where there are tables with unmatched rows from one table to another. This clip is from the chapter "SQL - Combining Data from Multiple Tables" of the series "Master SQL for Data Analysis".This...
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Master SQL for Data Analysis - Cross-Join
In this lesson, you will learn about combining datasets and tables with very little or no common factors among them. This clip is from the chapter "SQL - Combining Data from Multiple Tables" of the series "Master SQL for Data...
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Recommender Systems: An Applied Approach using Deep Learning - Train and Validation
After entirely developing our model, you will learn to fit and evaluate the model for functionality. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied Approach...
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Recommender Systems: An Applied Approach using Deep Learning - Random Train-Test Split
In this lesson, you will learn to perform the test train split, which will do the training split and then create a prediction; we will use a random dataset (80-20 ratio). This clip is from the chapter "Project Amazon Product...
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Recommender Systems: An Applied Approach using Deep Learning - Strengths and Weaknesses of DL Models
In this lesson, you will learn about the strengths and weaknesses of deep learning recommender system models. This clip is from the chapter "Deep Learning Foundation for Recommender Systems" of the series "Recommender Systems: An Applied...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: Response Cards
This is the last step in creating an Amazon Lex chatbot, creating and adding response cards, including the card setup, slot upgradation, chatbot building, and demonstration. This clip is from the chapter "Chatbots Development with Amazon...