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Recommender Systems with Machine Learning - tf-idf (Term Frequency-Inverse Document Frequency) Matrix
This video is about the tf-idf (Term Frequency-Inverse Document Frequency) matrix. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on...
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Recommender Systems with Machine Learning - Exploring Genres in Content-Based Filtering
This video helps you explore the genres in content-based filtering. 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...
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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 - 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: Greeting Function
After setting everything up, we will now look at creating a few greeting inputs and a few greeting responses for the conversational chatbot to respond with. 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 - 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: 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: 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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Master SQL for Data Analysis - Sequential Numbers
Let's look at another typical use case of a window function: to create a sequential integer number inside a group of rows while deciding how this group will be ordered. This clip is from the chapter "SQL - Window Functions" of the series...
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Master SQL for Data Analysis - Conditional Logic – Multiple Rows
The second type of subquery used to filter data based on conditional logic is the subquery that may return multiple rows of data. This clip is from the chapter "SQL – Subqueries" of the series "Master SQL for Data Analysis".This section...
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Master SQL for Data Analysis - Conditional Logic – Single Row
Here, we will look at the first type of subquery used to filter data with conditional logic, the results of which can be a single row or multiple rows of subqueries, depending on how we build it. This clip is from the chapter "SQL –...
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Master SQL for Data Analysis - Database Dictionary
We will explore the data-storing area called the dictionary, which stores constraints, filters, functions, lists, and so on. This clip is from the chapter "SQL - Retrieving Data with Queries" of the series "Master SQL for Data...
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Master SQL for Data Analysis - Filtering Conditions (WHERE) – Part 2
Here, you will learn to combine and filter data based on multiple conditions in the same query using operators. 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 - Filtering Conditions (WHERE) – Part 1
In this lesson, you will learn to use filtering conditions to filter data based on conditions. Here, we will explore the WHERE condition. This clip is from the chapter "SQL - Retrieving Data with Queries" of the series "Master SQL for...