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Building data science project from scratch [talk + workshop]
In this session we will go back to our usual format, talk and hands on session. So bring your laptops and good mood to learn about data science and python. We want to have coaches to support the hands on session. If you can be one of them please write us in slack. • Speaker: Jekaterina Kokatjuhha Jekaterina is a Research Engineer at Zalando, focusing on scalable machine learning for fraud prediction. She obtained a masters degree in bioinformatics from FU Berlin and worked in various research institutions across Europe such as the Charité Hospital in Berlin, the Centre for Genomics Regulations in Barcelona and at Manchester University. Jekaterina is excited about Machine Learning and Data Science and involved in a couple of ML side projects. • Talk Building data science project from scratch: analysis of Berlin rental prices This talk is about how to design a good data science project from scratch based on a real world dataset. As a showcase project we analyze the rental prices for apartments in Berlin. This talk will guide you through all the steps of a short-term data science project: motivation, extraction of data from the web, cleaning and engineering of features using external APIs, storytelling, and building machine learning models. We will dive into the pitfalls and design patterns when scraping data from the web. The importance of the interactive dashboards should not be understated as they help you find useful insights on your own. We will apply the human judgment of the apartment’s address to engineer new features using google API and use correlated features to impute the feature of interest. In the end several machine learning models will be used to explore the idea of bagging and of stacked models. • Workshop In the workshop we will go throw extensive data cleaning, namely exploring how to find "hidden" duplicated records. We scrap Wikipedia to get the list of Berlin metro stations, use google API to encode address features. • Installation requirements (this section will be updated with more details in the following weeks) • Python3, pandas, numpy, Jupyter notebook, http://jupyter.readthedocs.io/en/latest/install.html#id4 • Miscellaneous Snacks and drinks will be available • Gender policy [UPDATED] We believe knowledge is for all and at the same time our events aim primarily to empower women tech community. We request non female attendees to be aware of these situation and make their presence discrete. Eg. by coming with a female plus one to ensure gender balance, avoiding to be heard more than the rest of the attendees in discussions and question sections. • Contact Interested in speaking at one of our events? Have a good idea for a Meetup? Get in touch with us at [masked] You can also find us on slack Invite: https://pyladies-berlin.herokuapp.com/ Slack: https://pyladies-berlin.slack.com ...

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Gartenstraße 92 · Berlin

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    What we're about

    PyLadies is an international mentorship group with a focus on helping more women become active participants and leaders in the Python open-source community. Our mission is to promote, educate and advance a diverse Python community through outreach, education, conferences, events and social gatherings. PyLadies also aims to provide a friendly support network for women and a bridge to the larger Python world. Anyone with an interest in Python is encouraged to participate!

    Pyladies Berlin are regularly meeting once per month, every third Tuesday of the month. There is usually a talk and a hands on session over a python topic. Anyone is welcome to propose topics that wishes to learn and give a talk. For more checkout our website http://berlin.pyladies.com/

    We expect all participants to our events and community to abide to this code of conduct. http://www.pyladies.com/CodeOfConduct/

    Find us also in Slack https://pyladies-berlin.herokuapp.com/

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