MasterClass: Advanced Machine Learning

Nov 16, 2019

09:30

Prerequisites

Experience in programming (Python or R) Knowledge of machine learning Has participated in data science competitions or worked on real life data science projects

Have you struggled to improve your model beyond a particular score? Or you wonder what goes in the minds of top data scientist – this workshop is what you are looking for. This is a highly interactive experience with data science masters & top data scientists. The goal of this workshop is to provide a forum for exchanging ideas and new approaches to become masters of data science challenges.

Pre-requisites

  • Experience in programming (Python or R)
  • Knowledge of machine learning
  • Participation in data science competitions or worked on real life data science projects

Structure of the Workshop

This is an 8-hour workshop and includes the following modules:

  • Understanding of how Data Science Challenges work
  • Preparing your Cross validation strategy
  • Methods to choose the right evaluation metric to evaluate the model performance
  • The importance of Feature Engineering
  • How to deal with different type of data (text, image)
  • Models and Model tuning
  • Stacking & Ensembling
  • Mini Hack for 2 hours
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  • Pavel Pleskov

    Rank #4

    Kaggle Grandmaster

    BIO

    Pavel graduated from Lomonosov Moscow State University (2010) and New Economic School (2012). For a year, he worked as a financial consultant at Oliver Wyman. Then he began to build algorithms in the high-frequency trading industry (HFT). For two years, he was a co-founder and CBDO of ThunderBid. After that, he found his calling in Data

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