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Predict Basketball Player Efficiency Ratings by using Azure ML & VS Code

26 2月, 2022 | 10:30 午前 - 11:30 午前 (UTC) 協定世界時

形式:
ライブストリーム

トピック: データサイエンスと機械学習

言語: 英語

In this session we will be using anonymized data from real and animated basketball players in the film Space Jam: A New Legacy, create a machine learning model to cleanse data to be used during games. Also explore bimodal data distributions by using Python in Visual Studio Code.

The session will focus on Azure services and related technologies.
• Python, Pandas, and Visual Studio Code.
• Machine Learning.

In this session, you will Use Python, pandas, and Visual Studio Code, Cleanse and manipulate data that requires critical analysis,Use machine learning to cleanse and complete data and Prepare data to be used for multiple customer-facing purposes.

Further Learning : https://aka.ms/MLandVisualStudioCode-LM-26/2

Speaker : Shivam Sharma

Speaker BIO- Shivam is an author, cloud architect, speaker, and Co-Founder at TechScalable. Being passionate about ever evolving technology he works on Azure, GCP, Machine Learning, Kubernetes & DevOps. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies.

Social Handle

LinkedIn - https://www.linkedin.com/in/shivam-sharma-9828a536/
Twitter - https://twitter.com/ShivamSharma_TS
Facebook - https://www.facebook.com/TSshivamsharma/

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