ABOUT US
Who We Are
DataSklr is a platform that explores topics in data science and predictive analytics. While the individual web-pages do offer mathematical explanations and theory, the emphasis is on application. All sections provide an illustration of how to apply theory and execute it with Python.
What We Do
DataSklr offers articles and publications to those interested in using data science and statistical machine learning with Python. Sections include regression and classification models as well as several unsupervised learning methods for individuals working in quantitative fields.
Our Team
GellerT toth
Gellert Toth is a marketing science leader with over two decades of experience in the pharmaceutical and biotech industries. More importantly, he is a data scientist at the core who uses predictive models frequently to solve important business problems. He believes that empirical methods are often needed for an organization to make decisions that impact revenue and profits, and the most competitive organizations use machine learning when deciding on how to segment and target their customers, and allocate their resources to achieve the best business results.
He is an advocate for individuals to learn regression and classification methods as well as non-supervised learning methods and is a believer in open source computing platforms such as R and Python. Since his work ventures into areas of computer science outside of statistical machine learning, he has been an avid user of Python.
He is a life time learner and holds a MS in Predictive Analytics from Northwestern University and a PhD in Health Sciences from Seton Hall University.