Monthly Archives: October 2017

Combating High Cardinality Features in Supervised Machine Learning

Typical training data set for real world machine learning problems has mixture of different types of data including numerical and categorical. Many machine learning algorithms can not handle categorical variables. Those that can, categorical data can pose a serious problem … Continue reading

Posted in Big Data, Data Science, Data Transformation, ETL, Hadoop and Map Reduce, Predictive Analytic | Tagged , , , | Leave a comment