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Discover how AI & Data Science are transforming learning, skills, and careers in EdTech !
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Optimizing ORCL Return-to-Drawdown Performance via Classic and Modified Kaufmanβs Adaptive Moving Average (KAMA) in Python
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Week One
I learned how to handle basic to advanced operations using NumPy in my machine learning journey.
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Data storytelling = Analytics + Visuals + Narrative
Most people nail 1 or 2.
The magic happens when you master all 3.
But only if you know what to automate.
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Hey future data scientists!
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βSpeak the language of data, for it is the alphabet of insight and the grammar of progress.β - Sadie St. Lawrence
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Handling Categorical values is a very crucial part of data pre-processing in Data Science. Published a comprehensive article on Handling categorical data using Sk Learn. Read Here.
https://t.co/2UfexOA64U
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Handling Missing data is very important in Data Science. Published a comprehensive article on Handling missing data using Sk Learn Imputer. Read Here.
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https://t.co/0TPnSjg3zg
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