Learn the strategies and methodologies associated with PySpark and Google Colab as a primer to data science activities.
Google Colaboratory is a free, in-browser interactive programming environment that supplies deep learning researchers and engineers with an immersive and simple platform to collaborate on their data science projects. Google Colab allows anyone to compose and run arbitrary Python scripts in the browser, making it ideal for machine learning and data analysis. Minerva Singh - Instructor & Data Scientist developed the Complete PySpark & Google Colab Primer For Data Science certification course, which is available on Udemy.
Complete PySpark & Google Colab Primer For Data Science online training incorporates 4.5 hours of comprehensive lecture accompanied by articles and downloadable resources and is intended for individuals who want to use the capabilities of Google Colab for working with PySpark and Python-based AI modeling. The Complete PySpark & Google Colab Primer For Data Science online course discusses the methodologies involved with data processing, statistical analysis, correlation analysis, statistical modeling, and much more.
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Udemy
After completing the Complete PySpark & Google Colab Primer For Data Science online certification, individuals will gather a comprehensive knowledge of the functionalities of PySpark and Google Colab Primer for data science activities. Individuals will explore the fundamentals associated with deep learning, machine learning, artificial intelligence, artificial neural networks, classification, regression, deep neural networks, and logistic regression as well as will learn about the strategies involved with statistical analysis and correlation analysis. Individuals will learn about logistic regression models, deep learning models, and methodologies involved with statistical modeling.
Ms Minerva Singh Data Scientist Udemy
Other Masters, Ph.D, M.Phil.
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