What are the best practices for using ML.NET?
Some best practices include using data preprocessing, selecting the right algorithms, and optimizing model performance.
Can you elaborate on data preprocessing?
Sure! Data preprocessing involves cleaning, normalizing, and transforming your data to improve model accuracy.
What algorithms are recommended for different types of problems?
For classification, consider using logistic regression or decision trees. For regression, linear regression is a good start.
How can I optimize my model's performance?
You can optimize performance by tuning hyperparameters, using cross-validation, and employing feature selection techniques.
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