One of the most common questions about machine learning is “How do I prepare my data for a machine learning project?” In order to run successful machine learning projects, and create highly-accurate predictive models for your business, you need to prepare your data effectively. But this process doesn’t have to be a burden.
In this 45-minute session, you’ll discover:
- Efficient methods to explore and organize complex data
- How to marry multiple datasets for feature engineering
- Optimal target selection and how to address information leakage
