Curated Video
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.
Curated Video
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.
Curated Video
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.
Curated Video
Microsoft Project 2021 From Beginners to Advanced - Calculated Custom Field - Part 2
In this video, continuing from Part 1, we will explore calculated custom fields further. We will delve deeper into creating and configuring these fields to perform advanced calculations that enhance our project analysis capabilities....
Curated Video
SwiftUI iOS 16 Crash Course - Emoji Quote App in SwiftUI - The Images View
Let's understand how to change the image preview in the image view. We will use the repeat function to define the number of times the image view appears and add scroll views. This clip is from the chapter "Emoji App" of the series...
Curated Video
SwiftUI iOS 16 Crash Course - Emoji Quote App in SwiftUI - Get the Emoji SVG, Separate Parts, and Import to Xcode
In this lesson, you will learn to create an emoji SVG by downloading an emoji of choice from Figma and then customizing or modifying the same using vectors to our preference and saving it on Xcode. This clip is from the chapter "Emoji...
Curated Video
SwiftUI iOS 16 Crash Course - Emoji Quote App in SwiftUI - Steppers
In this lesson, we will explore steppers in detail. We will create a SwiftUI view, “StepperExampleViewâ€, to accept user input and display information/messages. This clip is from the chapter "Beyond the Basics" of the series "SwiftUI...
Curated Video
Types of Triangles
This video will explain the four types of triangles and their properties: right-angled, equilateral, isosceles and scalene triangles. Practice questions are at the end of the video.
Curated Video
Solving Equations GCSE Questions
In this video we go through some GCSE style exam practice questions for solving equations. Difficulty increases with each set of questions.
Curated Video
GCSE Maths Questions Mixed Topics
This video covers a variety of GCSE exam style practice questions on a range of maths topics, such as nets, symmetry and algebra.
Curated Video
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.
Curated Video
Upper and Lower Bounds for Approximation
Approximation: This video explains how to calculate upper and lower bounds when a number has been rounded. Practice questions and answers at the end of the video.
Curated Video
Building a ChatGPT AI with JavaScript - An OpenAI Code-Along Guide - Robust Error Handling and Logic Completion to OpenAI API
In this video, we will teach you how to implement robust error handling and logic completion for your OpenAI API, ensuring that your application can handle unexpected user input and provide accurate responses.
Curated Video
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.
Curated Video
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.
Curated Video
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.
Curated Video
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.
Curated Video
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.
Curated Video
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.
Curated Video
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.
Curated Video
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.
Curated Video
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.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Train and Validation
After entirely developing our recommender system, we will perform the training and validation, fitting and evaluating our model.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Making Recommendations
This is the final part of the project, where we create functions for the content-based recommender.