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Curated Video
Social Media Automation using Python - Project Part 3
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...
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This clip is from the chapter "YouTube Automation" of the series...
Curated Video
Social Media Automation using Python - Project Part 2
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...
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This clip is from the chapter "YouTube Automation" of the series...
Curated Video
Social Media Automation using Python - Displaying the Video Data
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...
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This clip is from the chapter "YouTube Automation" of the...
Curated Video
Social Media Automation using Python - Fetching the Playlist Information
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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Curated Video
Recommender Systems with Machine Learning - Making Recommendations-2
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
This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine Learning".null
Curated Video
Recommender Systems with Machine Learning - Rating Plot
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
This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine Learning".null
Curated Video
Recommender Systems with Machine Learning - Dataset Discussion
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...
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This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems...
Curated Video
Recommender Systems with Machine Learning - Making Recommendations-1
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...
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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...
Curated Video
Recommender Systems with Machine Learning - Find the st Title
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...
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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...
Curated Video
Recommender Systems with Machine Learning - FuzzyWuzzy Implementation
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...
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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...
Curated Video
Recommender Systems with Machine Learning - Exploring Genres
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...
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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...
Curated Video
Recommender Systems with Machine Learning - Dataset Usage
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...
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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...
Curated Video
Recommender Systems with Machine Learning - Age Distribution for Users
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...
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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...
Curated Video
Recommender Systems with Machine Learning - Making Recommendations
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...
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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...
Curated Video
Recommender Systems with Machine Learning - Recommendation Engine
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...
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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...
Curated Video
Recommender Systems with Machine Learning - Exploring Genres in Content-Based Filtering
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...
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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...
Curated Video
Recommender Systems with Machine Learning - Data Manipulation for Content-Based Filtering
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...
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This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This...
Curated Video
Recommender Systems with Machine Learning - Data Preparation for Content-Based Filtering
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...
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This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This...
Curated Video
Master SQL for Data Analysis - Grouping Rows (GROUP BY and HAVING)
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...
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This clip is from the chapter "SQL - Retrieving Data with...
Curated Video
Master SQL for Data Analysis - Distinct Values (DISTINCT)
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...
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This clip is from the chapter "SQL - Retrieving Data with Queries" of the series "Master SQL for Data...
Curated Video
Master SQL for Data Analysis - Searching Patterns (Wildcards)
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...
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This clip is from the chapter "SQL - Retrieving Data with Queries" of the series...
Curated Video
Master SQL for Data Analysis - Inserting Data
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...
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This clip is from the chapter "SQL - Creating Databases, Schemas, and Tables" of the series...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Accuracy Versus Recommendations
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:...
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This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems:...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: Complete Chatbot with Response Cards
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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