Video of our PyData Los Angeles 2019 talk Preparing Messy Real World Data for Supervised Machine Learning is now available. In this talk describe how to use vtreat, a package available in R and in Python, to correctly re-code real world data for supervised machine learning tasks.

Please check it out.

(Slides are also here.)

Categories: Exciting Techniques Pragmatic Data Science Tutorials

Tagged as: cross frames cross-validation data science Machine Learning Practical Data Science Pragmatic Machine Learning preparing data Statistics vtreat

jmount

Data Scientist and trainer at Win Vector LLC. One of the authors of Practical Data Science with R.