We used the KMeans algorithm from the sklearn Python library as ... This heuristic involves plotting the within-cluster variance against the number of clusters, allowing us to identify the “elbow” ...

A newly published study from the Institute of Electrical and Electronics Engineers (IEEE) presents a novel approach to improving the accuracy and robustness of recommender systems, using a combination ...

. ├── Image Classification Accuracy Challenge.docx # Problem statement and instructions ├── MNIST ├── MNIST_Accuracy.xlsx # Training & test accuracy data ├── MNIST_Accuracy_graph.png # Accuracy graph ...

The overall accuracy of the developed model was 88.9% ± 2.5% with precision, recall, and F1 scores of 92–95% for the nonborylating sites and 65–75% for the sites of borylation. The model was ...

This project is to develop a machine learning model that detects employee stress levels based on factors like workload, sleep hours, job satisfaction, and mental health. It helps organizations ...

Artificial Intelligence Technology,Assessment Project,Bidding,Credit Risk,Development Of Technology,Early Warning,Enterprise Information,Extraction Accuracy,Graph ...

Grading Accuracy,Graph Neural Networks,HSV Color,Health Monitoring,Healthy Cells,Hidden Layer,Hybridization Protocol,Hyperparameter Tuning,Information Extraction,Input Layer,Internet Of ...