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 - 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 - 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 - 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...
Curated Video
Recommender Systems with Machine Learning - Missing Values
This video explains how to churn out the missing values 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...
Curated Video
Recommender Systems with Machine Learning - User-Based Collaborative Filtering
This video helps you with user-based collaborative 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...
Curated Video
Recommender Systems with Machine Learning - Making Recommendations with Collaborative Filtering
This video helps you make recommendations with collaborative 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...
Curated Video
Recommender Systems with Machine Learning - Item-Based Filtering Data Preparation
This video explains and demonstrates item-based filtering data preparation. 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...
Curated Video
Recommender Systems with Machine Learning - Item-Based Collaborative Filtering
This video demonstrates item-based collaborative 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...
Curated Video
Recommender Systems with Machine Learning - Making Recommendations
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...
Curated Video
Recommender Systems with Machine Learning - Recommendation Engine
This video talks about the recommendation engine in detail. 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 - tf-idf (Term Frequency-Inverse Document Frequency) Matrix
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...
Curated Video
Recommender Systems with Machine Learning - Exploring Genres in Content-Based Filtering
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...
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. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section...
Curated Video
Recommender Systems with Machine Learning - Design Approaches for ML
This video talks about the design approaches for machine learning. 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 - Quality of Recommender Systems
This video explains the quality of recommender systems in detail. 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...
Curated Video
Recommender Systems with Machine Learning - Applications and Real-World Challenges
This video helps you understand the applications and real-world challenges, and how recommender systems resolve these issues. This clip is from the chapter "Motivation for Recommender System" of the series "Recommender Systems with...
Curated Video
Recommender Systems with Machine Learning - Recommender Systems Overview
This video provides an overview of recommender systems. This clip is from the chapter "Motivation for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on recommender systems and their...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Project: Conversational Chatbot Development with Machine Learning: Generate Response
We will import two libraries, tfidf, and cosine_similarity, and then use the TF-IDF vectorizer to generate chatbot responses based on the query input. This clip is from the chapter "Basics of Chatbots with Machine Learning and Python" of...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Machine Learning-Based Chatbots: NLTK Features
Let's explore the Natural Language Toolkit, a library used for specific tasks related to natural language processing, including tokenization, filtering words, stemming, lemmatization, chunking/chinking, and entity recognition. This clip...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Machine Learning-Based Chatbots: ML-Enabled Features
In this lesson, we will explore the enabling features of a machine learning-based chatbot, including scaling operations, task automation, user engagement, social media interaction, multilingual models, and connectivity. This clip is from...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Overview of Chatbots: Challenges of Chatbots
In this video, we will understand the challenges we face using a chatbot, including emerging trends, security, and privacy, customer saturation, predicting human behavior, user satisfaction, and user-bot communication. This clip is from...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Overview of Chatbots: Benefits of Chatbots
This video will elaborate on the benefits of using chatbots and the need for adopting chatbots, including personalized customer experience, efficient staff onboarding, standardized solutions, cost saving, and 24x7 availability. This clip...