How do I collect data for machine learning?

How do I collect data for machine learning?

To collect data for machine learning, you can use various methods like web scraping, surveys, or public datasets.

What are some popular public datasets I can use?

Some popular public datasets include the UCI Machine Learning Repository, Kaggle datasets, and Google Dataset Search.

How do I ensure the quality of the data I collect?

To ensure data quality, you should clean the data, handle missing values, and validate it against reliable sources.

Can I use synthetic data for training models?

Yes, synthetic data can be used for training models, especially when real data is scarce or sensitive.