Data Validation: Overview, Types, How to Perform | Built In
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Data Validation: Overview, Types, How to Perform | Built In
Data validation is the process of ensuring your data is correct and up to the standards of your project before using it to train your machine learning models.
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Day 3/14 – Data Validation & Data Project Frameworks Data Validation Controls what data can be entered in a cell Helps reduce errors and improve data quality Examples: number-only cells, dropdown lists, date limits Data Sources Real Users: data from actual people using a system Simulated Users: artificially generated data that imitates real behavior Frameworks Real Users Data Plan: decide what data is needed and why Develop: collect, store, and clean data Analyse: find patterns and insights Simu
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Day 3/14 – Data Validation & Data Project Frameworks Data Validation Controls what data can be entered in a cell Helps reduce errors and improve data quality Examples: number-only cells, dropdown lists, date limits Data Sources Real Users: data from actual people using a system Simulated Users: artificially generated data that imitates real behavior Frameworks Real Users Data Plan: decide what data is needed and why Develop: collect, store, and clean data Analyse: find patterns and insights Simu
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Day 3/14 – Data Validation & Data Project Frameworks Data Validation Controls what data can be entered in a cell Helps reduce errors and improve data quality Examples: number-only cells, dropdown lists, date limits Data Sources Real Users: data from actual people using a system Simulated Users: artificially generated data that imitates real behavior Frameworks Real Users Data Plan: decide what data is needed and why Develop: collect, store, and clean data Analyse: find patterns and insights Simu
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