This video explains how to implement KNN.
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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 learning...

This video helps you with geographic filtering.
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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...

This video helps you with collaborative filtering using KNN.
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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...

This video helps you find the age distribution for users from the dataset.
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This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses...

This video explains and demonstrates item-based filtering data preparation.
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This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section...

This video helps you with making recommendations.
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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...

This video talks about the recommendation engine in detail.
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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...

This video is about the tf-idf (Term Frequency-Inverse Document Frequency) matrix.
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This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section...

This video helps you explore the genres in content-based filtering.
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This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the...

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.
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This clip is from the chapter "Advanced Chatbots with Deep Learning and...

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.
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This clip is from the chapter "Advanced Chatbots with Deep Learning and...

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.
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This clip is from the chapter "Advanced Chatbots with Deep Learning and Python" of...

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.
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This clip is from the chapter "Basics of Chatbots with...

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.
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This clip is from the chapter "Basics of Chatbots with Machine Learning...

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.
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This clip is from the chapter "Basics of Chatbots with Machine...

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.
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This clip is from the chapter "Basics of Chatbots with...

In this lesson, we will perform two types of tokenization, sentence tokenization and word tokenization, using the NLTK library.
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This clip is from the chapter "Basics of Chatbots with Machine Learning and Python" of the series...

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.
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This clip is from the chapter "Basics...

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.
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This clip is from the chapter "Basics of Chatbots...

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.
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This clip is from the chapter "Basics of Chatbots with Machine...

In this video, we will define a generateResponse() function and define the expected user response from the chatbot.
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This clip is from the chapter "Basics of Chatbots with Machine Learning and Python" of the series "Chatbots...

After creating the word tokens, removing the tags, and lemmatizing the words, we will make the chatbot's welcome responses or welcome inputs.
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This clip is from the chapter "Basics of Chatbots with Machine Learning and Python"...

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.
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This clip is from the chapter...

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.
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This clip is from the chapter "Basics of Chatbots with Machine...