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.  

Sort By
Most Recent
Most Recent
Oldest
2 Articles
data scientist conducting a t-test on computer
A t-test is a statistical method that’s used to determine whether there is a significant difference between the means of two groups. Here’s how to do it in Python.
A data cube sliced in pandas.
The loc and iloc functions in Pandas are used to slice a data set. The function .loc is primarily used for label indexing, while .iloc is mainly used for integer indexing.