In this video, we will discuss the solution to the exercise on mapping and struct assignment from a previous video.
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This clip is from the chapter "Structures and Libraries in Solidity" of the series "The Complete Solidity...

In this video, we will dive into the concept of mapping and how to use it in Solidity. We will also explore how to assign a struct to a mapping, and the different ways to retrieve the values stored in a mapping. By the end of this...

In this video, we will discuss the solution to the exercise on structs in Solidity from the previous video.
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This clip is from the chapter "Structures and Libraries in Solidity" of the series "The Complete Solidity Course -...

This is an exercise video on structs in Solidity.
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This clip is from the chapter "Structures and Libraries in Solidity" of the series "The Complete Solidity Course - Zero to Advanced for Blockchain and Smart Contracts".In this...

In this video, you will learn about structs in Solidity, which are user-defined data types that allow you to group related data together.
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This clip is from the chapter "Structures and Libraries in Solidity" of the series "The...

NLP is a tool for structuring data in a way that AI systems can process that deals with language. NLP uses AI to 'read' through a document and extract key information.
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This clip is from the chapter "Recurrent Neural Networks"...

In this video, we will understand how to make a recommendation after creating the recommendation engine.

In this lesson, we will begin making the recommendation engine and train the model to make recommendations.

In this video, you will learn to make the recommendation engine using the tf-idf matrix.

In this lesson, you will learn to develop content-based filtering for a recommender system using Python.

In this lesson, you will learn about collaborative filtering and user-based collaborative filtering.

Here, we will look at data partitioning, represented as a URL.

In this video, we will understand what a user rating matrix is and how we can build a user rating matrix.

In this lesson, you will learn about the item-context matrix, a list of items and attributes in the recommender system.

In this video, we will learn about API endpoints, their role in API architecture, and how they interact with web applications.

In this video, we will discuss deep neural network models that are built on the technique of factorization, and interactions between variables and embeddings are taken into account.

We will explore how to make recommendations using collaborative filtering in the movie recommender system.

Here, you will learn how to implement the k-nearest neighbor algorithm in the movie recommender system.

In this lesson, you will learn how to create a collaborative filter for the movie recommender system.

In this video, you will learn to perform data visualization and analysis for the project using the movies and ratings dataset.

This video explains a new function called Promise.allSettled().
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This clip is from the chapter "Async Patterns and Promises" of the series "Quick JavaScript Crash Course - Modern and Advanced JavaScript".This section explains...

This video explains the stacked bar and dual-axis charts in the Netflix dashboard.

This video explains how to create a map that shows us which TV shows or movies were produced in which countries using country dimensions.

This video explains how to create the donut chart in the Netflix dashboard.