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Linux Operating System: A Complete Linux Guide for Beginners - Major Linux Families
In this video, we will discuss the major Linux families such as Fedora, Ubuntu, CentOS. This clip is from the chapter "Linux Distributions and History" of the series "Linux Operating System: A Complete Linux Guide for Beginners".In this...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Tokenizer
You will learn to import the tokenizer with and without filters. We will fit the tokenizer into our vocabulary using the fit_on_texts built-in command. This clip is from the chapter "Advanced Chatbots with Deep Learning and Python" of...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Max Story and Question Length
In this video, you will learn to define the project's story length and question length, determined by the number of words in the story or question. 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 - Deep Learning-Based Chatbot Architecture and Development: Develop Vocabulary
In this video, you will learn to combine the datasets, test data, and train data; we will use the all_data function to combine the datasets. This clip is from the chapter "Advanced Chatbots with Deep Learning and Python" of the series...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Data Preparation
We will use the two datasets available for our project, the training QA and the testing QA. We will save them in our project folder and invoke them as needed. This clip is from the chapter "Advanced Chatbots with Deep Learning and...
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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 - Project: Conversational Chatbot Development with Machine Learning: Bot Finishing
After setting all elements of the chatbot, we will complete the bot by inputting queries and data and receiving responses from the chatbot based on the question placed. This clip is from the chapter "Basics of Chatbots with Machine...
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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 - Project: Conversational Chatbot Development with Machine Learning: Elimination
After collecting all data, you will learn to eliminate the text we do not want to use in the chatbot project through an elimination process. This clip is from the chapter "Basics of Chatbots with Machine 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: 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 - Machine Learning-Based Chatbots: Local Search and Wikipedia Search
In this lesson, you will learn how to conduct a local search versus a Wikipedia search. We will generate results based on the responses from the Wikipedia search and the local search. This clip is from the chapter "Basics of Chatbots...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Machine Learning-Based Chatbots: Developing Results
We will now test the chatbot for response generation and verify that the chatbot is working perfectly. We will assess the results based on the data input and the response. This clip is from the chapter "Basics of Chatbots with Machine...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Machine Learning-Based Chatbots: Wiki Search
In this video, you will learn how to search Wikipedia. We will define a function to input data and obtain a response from the Wikipedia_data input we created. 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: 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: Chatbot Greets
After creating the word tokens, removing the tags, and lemmatizing the words, we will make the chatbot's welcome responses or welcome inputs. This clip is from the chapter "Basics of Chatbots with Machine Learning and Python" of the...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Machine Learning-Based Chatbots: Remove Tags and Lemmatize
In this video, we will look at removing tags or symbols that we do not want to use in our word token development process. We will then lemmatize the word token using the tag map lemmatizer. This clip is from the chapter "Basics of...
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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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Chatbots for Beginners: A Complete Guide to Build Chatbots - Machine Learning-Based Chatbots: Package Installation
This video demonstrates the steps involved in installing NLTK. Another package we will need to install for creating our chatbot is the Wikipedia app, and then import the required libraries. This clip is from the chapter "Basics of...
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Master SQL for Data Analysis - Query Data (SELECT)
Let's learn to query data using the SELECT option that determines the columns to include in the result set. This clip is from the chapter "SQL - Retrieving Data with Queries" of the series "Master SQL for Data Analysis".This section...
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Master SQL for Data Analysis - Creating Tables - Constraints
Here, we will look at the different constraints that can be added to update or limit data stored in a specific column in a table. This clip is from the chapter "SQL - Creating Databases, Schemas, and Tables" of the series "Master SQL for...
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Recommender Systems: An Applied Approach using Deep Learning - Making Recommendations
In this lesson, you will learn to create a recommendation and use a brute-force algorithm to generate the recommendation. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An...