In this project, we analyze and compare the performance of various machine learning algorithms (Linear Regression, Decision Tree, AdaBoost, XGBoost, Gradient Boosting and k- Nearest Neighbors) when used to predict hard drive failures using Backblaze data in the year 2018.
data-science
machine-learning
data-mining
monitoring
data-center
business-analytics
adaboost-learning
predict-failures
backblaze-data
drive-failures
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Updated
Feb 9, 2020 - HTML