Maria Khalusova

Maria Khalusova

Maria is a Developer Advocate at JetBrains where she focuses on data science, data engineering, and machine learning. Before joining the advocacy team, she has has been a part of such projects as IntelliJ IDEA, TeamCity, Upsource. Maria understands the challenges faced by newcomers to data science and wants to share her knowledge to help others overcome them. She is one of the organizers and co-founders of PyData Montreal, and she has been a speaker at a number of industry events.

Montreal 2020 sessions

A closer look: Exploratory Data Analysis with Spark

English session - Beginner

A typical workflow of a Data Scientist involves some level of exploratory data analysis. If you’re using Python when working with your data, you are probably quite familiar with packages like pandas, matplotlib, and others. Switching from pandas to Spark - how do you explore your data? How do you visualize it? In this talk, I’ll take a dataset and will explore it with Spark using IntelliJ IDEA and Apache Zeppelin.

Machine Learning Model Evaluation Metrics

English session - Beginner

Choosing the right evaluation metric for your machine learning project is crucial, as it decides which model you’ll ultimately use. How do you choose an appropriate metric? This talk will explore the important evaluation metrics used in regression and classification tasks, their pros and cons, and how to make a smart decision.