Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Project Overview
This video outlines the project and will demonstrate how to install the packages required for the project, data preparation, using TensorFlow, evaluation, and recommendation. This clip is from the chapter "Project Amazon Product...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Module Introduction
In this video, we will look at a general introduction to deep learning and what is covered in this section under deep learning. This clip is from the chapter "Deep Learning Foundation for Recommender Systems" of the series "Recommender...
Curated Video
Social Media Automation using Python - Introduction to Course
In this video, we will explore the course's prerequisites and discuss the course content and the concepts that will be covered in this course. This clip is from the chapter "Introduction" of the series "Social Media Automation Using...
Curated Video
Social Media Automation using Python - Introduction to Instructor
This video introduces the author/instructor and his experience in this online-course content discipline and discusses the AI Sciences group of instructors. This clip is from the chapter "Introduction" of the series "Social Media...
Curated Video
Social Media Automation using Python - Introduction and Installations
This video will look at a library package created by the Python community, the python-youtube 0.8.3. You will learn to install the package and import the library to perform the tasks. This clip is from the chapter "YouTube Automation" of...
Curated Video
Social Media Automation using Python - Introduction to Module-3
This video provides insight into the tasks we can schedule using a simple scheduler or a scheduling system, such as emails, messages, tasks, or routines. This clip is from the chapter "Scheduling" of the series "Social Media Automation...
Curated Video
Social Media Automation using Python - Some Extra Perks
Here, you will learn about additional features we can harness using the pywhatkit function, such as collecting information about WhatsApp scheduling, image posting, and such tasks. This clip is from the chapter "WhatsApp Automation" of...
Curated Video
Recommender Systems with Machine Learning - Course Conclusion
This video provides the conclusion for the course. We hope that you will be able to apply the learnings from this course into your professional life. This clip is from the chapter "Project 2: Movie Recommendation System Using...
Curated Video
Recommender Systems with Machine Learning - Making Recommendations-2
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
Curated Video
Recommender Systems with Machine Learning - KNN Implementation-2
This video explains the implementation of KNN. 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 - Create Collaborative Filter
This video demonstrates creating a collaborative filter. 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 - Active Users and Popular Movies
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
Curated Video
Recommender Systems with Machine Learning - Logarithm of Count
This video helps you explain the logarithm of count. 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 - Count
This video explains the count function. 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. 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. This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine...
Curated Video
Recommender Systems with Machine Learning - Project Introduction-2
This video provides an introduction to the project. 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 - Making Recommendations-1
This video explains how to make song recommendations. 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 focuses on...
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. 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 - FuzzyWuzzy Implementation
This video helps you with the implementation of the FuzzyWuzzy algorithm. 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 - Similarity Index
This video talks about the similarity index in detail. 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 focuses on...
Curated Video
Recommender Systems with Machine Learning - tf-idf (Term Frequency-Inverse Document Frequency) Implementation
This video demonstrates the implementation of tf-idf (Term Frequency-Inverse Document Frequency). 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 - Occurrence Count
This video demonstrates the occurrence count of the specific condition. 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 - Exploring Genres
This video helps you with exploring genres from the dataset. 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...