Скачать или смотреть Recommendation Systems part 1: Ranked-Based

This tutorial uses an Amazon dataset related to beauty products to explain a ranked-based recommendation system.
To prevent bias from entering the model, we remove users who provided a low number of ratings and products that have received a few ratings. All products are ranked according to their average rating. All users can receive recommendations for the most popular products, which are those with the highest average rating.

Amazon Dataset Link:
https://www.kaggle.com/datasets/skill...

MORE VIDEOS:
Logistic regression:
   • Logistic Regression in RapidMiner  

K-Means Clustering
   • K-means Clustering  

Elbow method in K-means clustering
   • Elbow method in RapidMiner to Optimize K i...  

Load data in RapidMiner
   • RapidMiner, Load data, save process, and s...  

Missing values
   • Missing Values in RapidMiner #missing_valu...  

Decision tree
   • Decision Tree in RapidMiner #decision_tree...  

Random Forest Classifier
   • Random Forest Classifier in RapidMiner  

Linear Regression
   • Linear Regression in RapidMiner  

Neural Network Classifier
   • Neural Network Classifier  

extension installation
   • How to install extension in RapidMiner #sh...  

Popularity-Based Recommendation Systems
   • Popularity-Based Recommendation Systems in...  

optimal values for several hyperparameters
   • The optimal values of hyperparameters in M...  

Split data operator
   • Split data operator #rapidminer #split  

NN prediction on new dataset
   • How to make predictions on new data using ...