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Advanced Chatbots with Deep Learning and Python - 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.
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Advanced Chatbots with Deep Learning and Python - Separation and Sequence
In this video, you will learn to make the train-test story questions and answers. We will then use a for loop to enter the story, question, and answer into the respective parts.
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Advanced Chatbots with Deep Learning and Python - 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.
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Advanced Chatbots with Deep Learning and Python - 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.
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Advanced Chatbots with Deep Learning and Python - 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.
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Advanced Chatbots with Deep Learning and Python - 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.
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Advanced Chatbots with Deep Learning and Python - 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.
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GCSE Maths Questions Foundation Tier
This video provides four practice GCSE Maths questions and answers for the foundation tier, non-calculator paper. We also explain how to get full marks for each question.
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Collecting Like Terms GCSE Questions
This video provides three sets of differentiated GCSE exam style practice questions on the topic of collecting like terms and simplifying. The answers to the questions are provided and solutions explained.
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Building a ChatGPT AI with JavaScript - An OpenAI Code-Along Guide - Download and Install a Text Editor - Visual Studio Code for OpenAI ChatGPT
In this video, we will guide you through the process of downloading and installing Visual Studio Code, a popular text editor, to use with the OpenAI ChatGPT project.
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AutoCAD 2023 Masterclass - Produce Amazing Site Plans Quickly - How to Create and Verify an Account on Autodesk
In this video, we will guide you on how to create and verify an account on Autodesk, the official website for AutoCAD software. You will learn step-by-step instructions on how to set up your account, which will be required for...
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Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Dataset Usage
In this lesson, you will learn to develop our content-based filtering for the song project.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: KNN Implementation
In this lesson, you will learn how to implement the k-nearest neighbor algorithm in machine learning.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Geographic Filtering
In this lesson, you will learn how to filter users in a recommendation system based on a geographical region.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Collaborative Filtering using KNN
This video demonstrates implementing a collaborative filter using the k-nearest neighbor algorithm.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Age Distribution for Users
In this video, we will develop a histogram to visualize the age distribution for users.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Item-Based Filtering Data Preparation
In this video, you will learn to implement Python to develop item-based collaborative filtering using Pandas, NumPy, and Matplotlib.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Making Recommendations
In this video, we will understand how to make a recommendation after creating the recommendation engine.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Recommendation Engine
In this lesson, we will begin making the recommendation engine and train the model to make recommendations.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: tf-idf Matrix
In this video, you will learn to make the recommendation engine using the tf-idf matrix.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Exploring Genres in Content-Based Filtering
After learning to explore genres, we will look at term frequency and inverse document frequency.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Data Manipulation for Content-Based Filtering
In this lesson, you will learn how to extract information from our dataset.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Data Preparation for Content-Based Filtering
In this lesson, you will learn to develop content-based filtering for a recommender system using Python.
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AWS Certified Solutions Architect Associate (SAA-C03) - S3 Enhanced Features
AWS has really upped its game with added S3 features. Learn about intelligent tiering, S3 object lock, and batch operations in this video.