Instructional Video6:02
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Filtering: Making Recommendations

Higher Ed
We will explore how to make recommendations using collaborative filtering in the movie recommender system.
Instructional Video8:53
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Filtering: Active Users and Popular Movies

Higher Ed
In this video, we will understand how to calculate our movie project's active users and popular movies.
Instructional Video5:09
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Filtering: Rating Plot

Higher Ed
In this video, you will learn to perform data visualization and analysis for the project using the movies and ratings dataset.
Instructional Video5:36
Curated Video

Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Filtering: Dataset Discussion

Higher Ed
In this video, we will look at the various libraries we would need to import for this project, including os, math, NumPy, time, and Pandas.
Instructional Video4:42
Curated Video

Learn Tableau by Working on Exciting Dashboards - Country Map

Higher Ed
This video explains how to create a map that shows us which TV shows or movies were produced in which countries using country dimensions.
Instructional Video11:42
Curated Video

Learn Tableau by Working on Exciting Dashboards - Donut Chart

Higher Ed
This video explains how to create the donut chart in the Netflix dashboard.
Instructional Video17:43
Curated Video

React JS Masterclass - Go From Zero To Job Ready - Project Setup-1

Higher Ed
This video explores the components of the project. We will import the index.js file from the previous project and we will create all the required folder structures for the Cinemate project.
Instructional Video14:43
Curated Video

React JS Masterclass - Go From Zero To Job Ready - API Fetch: Movie List / 069

Higher Ed
In this video, we will learn to fetch specific movies on the Movie list API. We will create a default empty list. We will then learn to send fetch requests to the URLs.
Instructional Video10:35
Curated Video

React JS Masterclass - Go From Zero To Job Ready - TMDB API: Documentation / 064

Higher Ed
In this lesson, we will learn to use the TMDB API, a free API that showcases movies and we will register to create our account on the API. We will then examine the documentation, send links, and other parameters to work with.
Instructional Video4:36
Curated Video

React JS Masterclass - Go From Zero To Job Ready - Cinemate Demo

Higher Ed
This video showcases the project that we will build called Cinemate, which is basically an information provider of popular movies, and is a movies based API project.
Instructional Video6:24
Curated Video

React JS Masterclass - Go From Zero To Job Ready - Firestore Queries / 259

Higher Ed
Cloud Firestore provides powerful query functionality for specifying which documents you want to retrieve from a collection or collection group.
Instructional Video9:52
Curated Video

React JS Masterclass - Go From Zero To Job Ready - Fetching Documents - I / 255

Higher Ed
You can use the Realtime Database Query class to retrieve data sorted by key, by value, or by the value of a child. You can also filter the sorted result.
Instructional Video8:32
Curated Video

React JS Masterclass - Go From Zero To Job Ready - Firebase Setup / 253

Higher Ed
React Native Firebase provides access to native code by wrapping the native SDKs for Android and iOS into a JavaScript API.
Instructional Video6:00
Curated Video

Recommender Systems with Machine Learning - Making Recommendations-2

Higher Ed
This video explains how to make movie recommendations. This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine Learning".null
Instructional Video8:50
Curated Video

Recommender Systems with Machine Learning - Active Users and Popular Movies

Higher Ed
This video explains the active users and popular movies available. This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine Learning".null
Instructional Video5:06
Curated Video

Recommender Systems with Machine Learning - Rating Plot

Higher Ed
This video helps you with the plot rating from the dataset. This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine Learning".null
Instructional Video5:32
Curated Video

Recommender Systems with Machine Learning - Dataset Discussion

Higher Ed
This video involves a deep understanding of the dataset to be explored for this module. This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine...
Instructional Video8:46
Curated Video

Recommender Systems with Machine Learning - Making Recommendations

Higher Ed
This video helps you with making recommendations. 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 for...
Instructional Video10:53
Curated Video

Recommender Systems with Machine Learning - tf-idf (Term Frequency-Inverse Document Frequency) Matrix

Higher Ed
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...
Instructional Video12:27
Curated Video

Recommender Systems with Machine Learning - Exploring Genres in Content-Based Filtering

Higher Ed
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...
Instructional Video3:02
Curated Video

Recommender Systems with Machine Learning - Content-Based Filtering-2

Higher Ed
This video helps you with 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 machine learning for...
Instructional Video4:34
Curated Video

Recommender Systems with Machine Learning - Content-Based Filtering-1

Higher Ed
This video helps you with content-based filtering. This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine Learning".This section focuses on the basics of recommender systems.
Instructional Video5:24
Curated Video

Recommender Systems with Machine Learning - Offline Evaluation Techniques

Higher Ed
This video talks about offline evaluation techniques of recommender systems. This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine Learning".This section focuses on the basics of...
Instructional Video3:08
Curated Video

Master SQL for Data Analysis - Searching Patterns (Wildcards)

Higher Ed
In this video, you will learn about wildcards or search patterns that allow us to search a portion of the information from a string-type column. This clip is from the chapter "SQL - Retrieving Data with Queries" of the series "Master SQL...