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In the DataHour we will start numpy from scratch and discuss its famous object that is used to store data: Arrays. And the discussion will continue with different operations and functions of numpy. Then we will move towards the MS excel of python i.e. Pandas and discuss dataframes and various operations that are helpful in manipulating,creating data for ML/DL algorithms.
Prerequisites: Enthusiasm to learn data science and basic knowledge of Python.
Jaiyesh Chahar
Data Scientist at Siemens
Jaiyesh is a data scientist at Siemens, and also a Community mentor for Python and Data Science for the Oil and Gas Industry. Co-Founder of Petroleum from Scratch: Venture focused on mentoring the community with core Petroleum Concepts as well as Data Analytics Skills that helps students as well as professionals to acquire the skills needed for Industry 4.0.
You can follow him on Linkedin.
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