Sohail Hosseini
Machine Learning Engineer at Self-Employed
Expertise: Data mining, time series analysis, regression, predictive modeling and Bayesian statistics
Education: The University of Toledo

Sohail Hosseini is a machine learning engineer with nearly five years of experience in data science and research roles. Hosseini has previously worked as a machine learning engineer for the U.S. Postal Service, a data analytics bootcamp instructor at The George Washington University and as an Assistant Professor for Capitol Technology University. He specializes in data mining, time series analysis, regression, predictive modeling and Bayesian statistics. Hosseini holds a doctorate in electronics and communications engineering from The University of Toledo.  

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data scientist conducting a t-test on computer
A t-test is a statistical test used to determine if there is a significant difference between a sample mean and a hypothesized population mean, or between the means of two independent groups. Here's how to perform a t-test in Python.
A data cube sliced in pandas.
The .loc[] and .iloc[] properties in Pandas are used to access specific rows and columns in a pandas DataFrame (or slice a data set). The .loc[] property is used for label indexing, while the .iloc[] property is used for integer indexing.