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It starts with collecting raw data from various sources. Then comes pre-processing, which is cleaning and transforming the data. After that, data mining algorithms analyse the data to find patterns.
Data validation in machine learning plays a critical role in ensuring that data sets adhere to specific project criteria and affirming the effectiveness of prior cleaning and transformation efforts.
The study will assess the scheme’s effectiveness, relevance, impact, and user satisfaction, while also analysing its security ...
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