Curated Video
AWS Certified Solutions Architect Associate (SAA-C03) - Take Notes
There are many ways to take notes while watching these training videos; the important thing is to find what works for you.
Curated Video
Action Verbs for Kids and Game
In this fun-filled educational adventure, kids will learn all about action verbs through interactive activities. The video is divided into three engaging parts: Talking Flashcards: Learn action verbs with our animated flashcards that...
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Train and Validation
After entirely developing our recommender system, we will perform the training and validation, fitting and evaluating our model.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Making Recommendations
This is the final part of the project, where we create functions for the content-based recommender.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Making Recommendations with Collaborative Filtering
In this lesson, you will learn to implement recommendations with collaborative filtering.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Making Recommendations
We will now perform some recommendations using the brute-force algorithms and then perform the indexing of our data.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Accuracy Versus Recommendations
We will now perform data visualization; we will check the accuracy of our recommender model with the recommendations.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Compute Loss
This is the next step of training our model, which entails the compute loss model.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Candidate Tower and Retrieval System
In this lesson, we will look at making the candidate tower and then execute a retrieval system.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Making the Model and Query Tower
After testing and training the recommendations, we will develop the model by loading the Tensor board extension.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Random Train-Test Split
After mapping the rating to the dataset, we will train-test split the dataset to our recommender system with shuffling and prediction.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Download Libraries
Here, you will learn to implement the Amazon product recommendation system using deep learning. We will import the requisite libraries and build and train the deep learning-based model using TensorFlow.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Filtering: Making Recommendations
We will explore how to make recommendations using collaborative filtering in the movie recommender system.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Filtering: KNN Implementation
Here, you will learn how to implement the k-nearest neighbor algorithm in the movie recommender system.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Filtering: Create Collaborative Filter
In this lesson, you will learn how to create a collaborative filter for the movie recommender system.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Filtering: Active Users and Popular Movies
In this video, we will understand how to calculate our movie project's active users and popular movies.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Filtering: Logarithm of Count
In this video, we will explore how to calculate the count of elements using the logarithm function.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Filtering: Count
In this lesson, we will create functions to calculate the count of the elements of the project.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Filtering: Dataset Discussion
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.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Find Closest Title
In this lesson, we will try to locate the nearest element to the search, and we will do this using functions.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Fuzzywuzzy Implementation
You will learn to develop the two types of functions needed to make the recommender engine.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Similarity Index
In this lesson, we will explore how to use the similarity index.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Exploring Genres
In this lesson, we will explore the elements of the dataset called genres.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Missing Values
In this lesson, we will develop a new data frame for our content-based filtering for missing values.