Preprocessing Data for Modeling

Using real-world data comes with a whole slew of issues. In this short video, Max Margenot reviews how to solve some of the issues you may have with your data. From outliers, to NaNs, to data errors, Max covers various common issues and provides solutions to get you and your modeling workflow back on track. Special thanks to Quantopian community member, Cheng Peng, for suggesting this topic. If you have topics that you would like us to cover, please leave us feedback below. at https://www.quantopian.com/posts/what-type-of-content-would-you-like-to-see or send us a quick note at [email protected]. To learn more about Quantopian visit http://www.quantopian.com. Disclaimer Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice. More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian. In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.