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Chatbots for Beginners: A Complete Guide to Build Chatbots - Machine Learning-Based Chatbots: Word Tokens and Remove ASCII
In this video, you will learn to add word tokens using the normalize function and develop the word token. We are going to use the NLTK.word_tokenize function. This clip is from the chapter "Basics of Chatbots with Machine Learning and...
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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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CISSP Crash Course - Security in Systems Part 2
This video continues talking about security in systems, microservices, and containerization. This clip is from the chapter "Architecture and Engineering" of the series "CISSP Crash Course".This section covers domain 3, which focuses on...
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Master SQL for Data Analysis - Let's Recap
In this final video, the author succinctly recapitulates the course content with explanations of key terminologies and topics covered thus far. This clip is from the chapter "Course Summary – Level 2" of the series "Master SQL for Data...
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Master SQL for Data Analysis - Creating a Window Function
This is an illustrative video on creating a simple window function using the OVER and PARTITION BY functions. This clip is from the chapter "SQL - Window Functions" of the series "Master SQL for Data Analysis".This section focuses on one...
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Master SQL for Data Analysis - Distinct Values (DISTINCT)
Let's explore the way to find distinct values among multiple rows of data as part of a preliminary preparation process. This clip is from the chapter "SQL - Retrieving Data with Queries" of the series "Master SQL for Data Analysis".This...
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Master SQL for Data Analysis - Data-Type Conversions (CAST)
Here, we will understand predefined datatypes and how to convert one data type to another. This clip is from the chapter "SQL - Retrieving Data with Queries" of the series "Master SQL for Data Analysis".This section focuses on the...
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Recommender Systems: An Applied Approach using Deep Learning - Compute Loss
Here, we will look at the next step of training our model: the compute loss function. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied Approach Using Deep...
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Master SQL for Data Analysis - Overview
This video briefly outlines the window functions, a powerful tool used to work on the most complex structures in SQL and data analysis in complex projects. This clip is from the chapter "SQL - Window Functions" of the series "Master SQL...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Vectorize Stories
In this video, we will understand how to vectorize the story by defining functions, using the data, and developing an index and tokenizer. We will also determine the maximum story length calculated. This clip is from the chapter...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: Starting Lambda Code
In this video, we will prepare to write the code for the chatbot; we will import a few required libraries, including JSON, datetime, and time. This clip is from the chapter "Chatbots Development with Amazon Lex" of the series "Chatbots...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: Interconnection
This video demonstrates the process of connecting Amazon Lambda to our chatbot. We will create the functions required for our chatbot and author it from scratch. This clip is from the chapter "Chatbots Development with Amazon Lex" of the...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: AWS Lambda Steps
This lesson will teach us to connect Amazon Lambda with Amazon Lex. Amazon Lambda helps with the validation and fulfillment of the chatbot. You will learn about the steps involved in performing the connectivity. This clip is from the...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Model Completion
In this video, after training and testing the data, querying the questions, and obtaining responses, we are now at model completion with compiling the questions and responses to check for accuracy. This clip is from the chapter "Advanced...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Vectorizing Train and Test Data
After creating the vectorization function, we will input the stories, queries, and answers using the vectorize function that we created using the train data. This clip is from the chapter "Advanced Chatbots with Deep Learning and Python"...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Classification in Code
In this video, we will practice all that we have learnt in the previous video about classification. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Convolution
In this video, you will learn how to apply convolution to an image to create a blurring filter. This clip is from the chapter "SciPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section,...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - The apply() Function
In this video, you will learn about the apply() function. This clip is from the chapter "Pandas" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will talk about Pandas.
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Line Chart
In this video, you will learn about a line chart. This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will talk about Matplotlib.
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Generating Data
In this video, we will discuss how to generate data. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the course, we will dive into the world of...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Matrices
In this video, you will learn about matrices. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the course, we will dive into the world of NumPy,...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Dot Product
In this video, we will discuss Dot Product in NumPy. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the course, we will dive into the world of...
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HashiCorp Certified - Vault Associate Course - Using the Transit Secrets Engine
This video will cover how to use the Transit Secrets Engine in Vault to securely encrypt and decrypt data at rest. This clip is from the chapter "Compare and Configure Secrets Engines" of the series "HashiCorp Certified - Vault Associate...
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The Complete Vue.js Course for Beginners - Events and Parameters
In this video, you will learn about events in Vue.js; we will also discuss how we can use events in JavaScript as a framework. This clip is from the chapter "Getting Started with Basic Code" of the series "The Complete Vue.js Course for...