GitHub / beingujjwalraj / Altair-Datascience-Competition
Awarded for developing a high-accuracy predictive maintenance model Random Forest. The project significantly reduced downtime by accurately forecasting machine failures, leveraging tools like Altair AI Studio and RapidMiner. Achieved a 99.25% accuracy rate, effectively predicting various failure types.
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PURL: pkg:github/beingujjwalraj/Altair-Datascience-Competition
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 6.09 MB
Dependencies parsed at: Pending
Created at: 12 months ago
Updated at: about 1 month ago
Pushed at: about 1 month ago
Last synced at: about 1 month ago
Topics: altair, data-science, data-science-competition, kaggle, machine-learning, random-forest, rapidminer