Instructional Video4:10
Curated Video

Social Media Automation using Python - Project Part 3

Higher Ed
This video demonstrates the debugging process of any errors created during the code creation and finally executing the code to obtain the relevant information.
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This clip is from the chapter "YouTube Automation" of the series...
Instructional Video8:36
Curated Video

Social Media Automation using Python - Project Part 2

Higher Ed
In the project part 2 video, we will call the API object and create a data frame with columns to receive the relevant information about the video titles.
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This clip is from the chapter "YouTube Automation" of the series...
Instructional Video4:10
Curated Video

Social Media Automation using Python - Displaying the Video Data

Higher Ed
After fetching video data based on ID, you will learn to display relevant information of the video details, such as video titles, snippets, and content knowledge.
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This clip is from the chapter "YouTube Automation" of the...
Instructional Video6:21
Curated Video

Social Media Automation using Python - Fetching the Playlist Information

Higher Ed
In this video, you will learn to use the api.get_playlists() function to retrieve playlist information from YouTube. You can use the process to retrieve playlists, playlist items, playlist items by ID, and playlists by ID.
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Instructional Video6:00
Curated Video

Recommender Systems with Machine Learning - Making Recommendations-2

Higher Ed
This video explains how to make movie recommendations.<br<br/>/>

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.<br<br/>/>

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.
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This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems...
Instructional Video9:53
Curated Video

Recommender Systems with Machine Learning - Making Recommendations-1

Higher Ed
This video explains how to make song recommendations.
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This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This section...
Instructional Video4:10
Curated Video

Recommender Systems with Machine Learning - Find the st Title

Higher Ed
This video explains how to find the closest title from the dataset as per the input.
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This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with...
Instructional Video4:04
Curated Video

Recommender Systems with Machine Learning - FuzzyWuzzy Implementation

Higher Ed
This video helps you with the implementation of the FuzzyWuzzy algorithm.
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This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine...
Instructional Video7:07
Curated Video

Recommender Systems with Machine Learning - Exploring Genres

Higher Ed
This video helps you with exploring genres from the dataset.
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This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This...
Instructional Video4:52
Curated Video

Recommender Systems with Machine Learning - Dataset Usage

Higher Ed
This video explains how to use the dataset to your advantage.
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This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This...
Instructional Video7:28
Curated Video

Recommender Systems with Machine Learning - Age Distribution for Users

Higher Ed
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...
Instructional Video8:46
Curated Video

Recommender Systems with Machine Learning - Making Recommendations

Higher Ed
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...
Instructional Video9:21
Curated Video

Recommender Systems with Machine Learning - Recommendation Engine

Higher Ed
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...
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.
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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...
Instructional Video11:50
Curated Video

Recommender Systems with Machine Learning - Data Manipulation for Content-Based Filtering

Higher Ed
This video explains data manipulation for content-based filtering with machine learning.
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This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This...
Instructional Video7:56
Curated Video

Recommender Systems with Machine Learning - Data Preparation for Content-Based Filtering

Higher Ed
This video explains data preparation for content-based filtering with machine learning.
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This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This...
Instructional Video9:49
Curated Video

Master SQL for Data Analysis - Grouping Rows (GROUP BY and HAVING)

Higher Ed
Let's learn how to group rows based on values in specific columns and then apply different actions on the groups, such as applying filters using GROUP BY and HAVING.
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This clip is from the chapter "SQL - Retrieving Data with...
Instructional Video3:43
Curated Video

Master SQL for Data Analysis - Distinct Values (DISTINCT)

Higher Ed
Let's explore the way to find distinct values among multiple rows of data as part of a preliminary preparation process.
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This clip is from the chapter "SQL - Retrieving Data with Queries" of the series "Master SQL for Data...
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.
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This clip is from the chapter "SQL - Retrieving Data with Queries" of the series...
Instructional Video5:00
Curated Video

Master SQL for Data Analysis - Inserting Data

Higher Ed
In this lesson, we will look at inserting data into tables and learn to use commands to insert single and multiple rows of data.
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This clip is from the chapter "SQL - Creating Databases, Schemas, and Tables" of the series...
Instructional Video8:01
Curated Video

Recommender Systems: An Applied Approach using Deep Learning - Accuracy Versus Recommendations

Higher Ed
In this video, we will perform data visualization with the project we created and check the model’s accuracy.
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This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems:...
Instructional Video10:14
Curated Video

Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: Complete Chatbot with Response Cards

Higher Ed
In this video, you will learn to create complete response cards and check the created slot types with options best suited for enhanced user experience. We will test the bot for the full functionality of the intended tasks.
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