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A Hands-On Introduction to Your First Data Science Project - Em Grasmeder, Jin Yang

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PyData Berlin 2018
We’ve created a playground data science application that’s ready for you to jump in to. It uses real data, an industry-standard tool set, and addresses a typical machine learning task. We will run you through the workflow and life cycle of the data science application, and you’ll spend most of the session experimenting and improving the machine learning model. Please bring a computer!
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PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
We’ve created a playground data science application that’s ready for you to jump in to. It uses real data, an industry-standard tool set, and addresses a typical machine learning task. We will run you through the workflow and life cycle of the data science application, and you’ll spend most of the session experimenting and improving the machine learning model. Please bring a computer!
---
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
A Hands-On Introduction to Your First Data Science Project - Em Grasmeder, Jin Yang
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