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New Kaggle survey on ML and Data Science

Updated: Feb 18, 2021




Kaggle releases survey on Machine Learning and Data Science



Kaggle Executive Summary of survey on Machine Learning and Data Science


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According to the survey, most Kaggle data scientists are likely to:

* Be late 20's in age

* Live in India or the U.S.

* Have a Master's degree

* Learn with Coursera

* Years programming experience: U.S. 5-10 yr. Global 3-5 yr.

* Years ML experience: U.S. 5-10 yr. Global 1-2 yr.

* Salary: U.S. $150-200K Global $100-125K

* Work in companies with less than 50 people

* Data Science team has 1-2 people

* Use JupyterLab for development

* Popular algorithms: Linear/Logistics Regression, Decision Trees, Random Forests

* Popular Frameworks: Scikit-learn, TensorFlow, Keras, Xgboost, PyTorch

* Cloud use: Amazon AWS, Google Cloud Platform

* Cloud products: None, Amazon SageMaker, Google Cloud AI, Azure ML Studio

* Business Intelligence: None, Tableau, Microsoft Power BI

* Popular databases: MySQL, PostgreSQL, Microsoft SQL Server, MongoDB

* Automated ML: Google Cloud AutoML, H20 Driverless AI, DataRobot AutoML


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