The dataset was collected from the Kaggle website based on a review of the mobile of Amazon (Rambocas and Gama in Marketing research: The role of sentiment analysis, Universidade do Porto, Faculdade de Economia do Porto, 2013) As Machine Learning (ML) is evolved, here we are going to ...
Practical application in clinical settings is ensured by validation using real-world hospital data and a Kaggle dataset. Keywords: Deep learning; Glioma; Meningioma; Pituitary ; Perfusion MRI.DOI: 10.1504/IJAISC.2024.10069150Sign up for new issue alerts Subscribe/buy articles/issues View sample ...
Udacity has partnered with industry leaders like Tableau, Kaggle, and IBM Watson, to ensure these programs include in-demand skills that industry recruiters look for. They also provide personalized career services to the students like coaching sessions, interview prep advice, resume and profile review...
https://www.kaggle.com/ebiswas/imdb-review-dataset. In some previous work, an older version of these datasets is used, as they are consistently updated each year. A more comprehensive analysis of the Pollyanna hypothesis across a variety of review datasets can be found in Aithal and Tan (20...
There are many great resources for free datasets you can use to practice, includingKaggle.com,Data.World,Google Dataset Searchand more. However, the limitation with these datasets is they don't give you any practice at cleaning data, which will be one of the main aspects of your role. For...
Kaggle and BrATS, with the BrATS dataset showing superior outcomes in accuracy, specificity, and sensitivity (0.995, 0.996, 0.996). Keywords: Brain tumour; Feature Fusion; (CAD) Computer-Aided Diagnosis; Ensemble Learning; Brain tumour classification; Regions of Interest (ROIs); Psychological Health...
This study generates price prediction suggestions for a community-powered shopping application using product features, which is a recent topic of a Kaggle.com competition sponsored by Mercari, Inc. As Ebay acquired Canadian data analysis firm Terapeak, the importance of using "big data" and machine...
known for its efficiency in minimising computation costs while maintaining high accuracy. By utilising a diverse fall image dataset, the method undergoes rigorous training and evaluation, employing standard performance metrics. The results reveal impressive precision, recall, and mean average precision (mAP...
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