"Data Cleansing for Machine Learning" by Sam Nasr (NIS Technologies)

Machine Learning is highly dependent on adequate data. Not only does quantity matter, but more importantly quality. In this session we’ll cover the methods for querying data vast amounts of data while cleansing erroneous values. This helps ensure adequate data for building reliable Machine Learning Models.

Contact: Sam Nasr (snasr@nistechnologies.com)

Cost: Free (open to all expertise levels. Feel free to invite a friend!)