data preprocessing वाक्य
उदाहरण वाक्य
मोबाइल
- It is often necessary to modify data preprocessing and model parameters until the result achieves the desired properties.
- FST3 supports several standard data mining tasks, more specifically, data preprocessing and Weka, RapidMiner or PRTools.
- Weka supports several standard data mining tasks, more specifically, data preprocessing, regression, visualization, and feature selection.
- They are invariant to attribute scales ( units ) and insensitive to outliers, and thus, require little data preprocessing such as normalization.
- In many big data projects, there is no large data analysis happening, but the challenge is the extract, transform, load part of data preprocessing.
- The PL / SQL package DBMS _ PREDICTIVE _ ANALYTICS automates the data mining process including data preprocessing, model building and evaluation, and scoring of new data.
- RapidMiner provides data mining and machine learning procedures including : data loading and transformation ( Extract, transform, load ( ETL ) ), data preprocessing and visualization, predictive analytics and statistical modeling, evaluation, and deployment.
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