Cross Validation Data Governance ETL 
Pickl AI
APRIL 26, 2024
Overfitting occurs when a model learns the training data too well, including noise and irrelevant patterns, leading to poor performance on unseen data. Techniques such as cross-validation, regularisation , and feature selection can prevent overfitting. Explain the Extract, Transform, Load (ETL) process.
Pickl AI
AUGUST 9, 2024
Data Integration Tools Technologies such as Apache NiFi and Talend help in the seamless integration of data from various sources into a unified system for analysis. Understanding ETL (Extract, Transform, Load) processes is vital for students. Understanding how to assess model performance is crucial for data scientists.
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