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Ethan Rosenthal: Time frame combination of for scikit-learn people at large | PyData Ny right now

This talk will frame the topic of time series forecasting in the language of machine learning. This framing will be used to introduce the skits library which provides a scikit-learn-compatible API for fitting and forecasting time series models using supervised machine learning. Finally, a real-world deployment of skits involving thousands of forecasts per hour will be demonstrated.

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.

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Tremble Guess Using Seismic The right time Combination of Data | Component 2

Earthquake Prediction Using Seismic Time Series Data | Part 1

Final Project Presentation
CS671 Deep Learning – Group 13
IIT Mandi

Final Project Presentation
CS671 Deep Learning – Group 13
IIT Mandi