vrijdag 20 november 2020
This workshop about machine learning exploration in Python is organized by and for Most Data, the Yacht community for Data professionals. For this workshop we team with Pipple’s CTO Ruud Mullers, who will lead the workshop. It is part of a series of three online data science workshops: 1) Coding Standards and Logging in Python, 2) Machine Learning Exploration in Python and 3) Spark.
More and more data is generated in every company, but how do you know which data puts value and what that value is? Using a real-life dataset / case, we will analyze, explore and process data in groups in a step-by-step manner. By going through a standard process for data preparation and training several relatively 'simple' data models, we can quickly obtain initial predictions from the data. By applying a number of methodologies for evaluating these models, we can determine how valuable the data could be. This workshop gives you the tools to easily set up your first machine learning models, so that you then have more time to improve and optimize the results! After the project, it will be determined which of the teams has made the best model in this short time and can declare itself the Data Science team of the day.
During the workshop Google Colab will be used. Make sure you bring a laptop with Google Colab properly running. This workshop requires you to have at least basic experience in working with Python. The workshop will be held via a Google Meet/Hangout videocall. When you sign up via the form below, you will receive the link to join this workshop.
Women in Data Science (WiDS) Amsterdam is an independent conference organized by Pipple Thursday September 24th, under the banner of Stanford University. The event is followed by a series of online lectures in September and October. Yacht supports diversity and inclusion and are proud to be a partner of Women in Data Science Amsterdam.
Please contact me