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NumPy for Data Science Beginners: 2021

3NumPy for Data Science Beginners: 2021, Learn first step towards Data Science with all important concept of Numerical Python NumPy in Python For Data Science. Wanna learn NumPy?Look no further. This course. . .

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NumPy for Data Science Beginners: 2021

3NumPy for Data Science Beginners: 2021, Learn first step towards Data Science with all important concept of Numerical Python NumPy in Python For Data Science. Wanna learn NumPy?Look no further. This course covers everything fromhow to install and import NumPytohow to solve complex problems involving array creation, transformations, and random sampling. Course StructureThe course is presented as a series ofon-demandlecture style videos with lots ofanimated examples, code walkthroughs, and challenge problems to test your knowledge. Go as fast or as slow as you want. It’s difficult to describe everything around us with just one number. The world is multidimensional. The data we are consuming, product we use on daily basis, from non living organism to living organism require many feature to fully characterise and quantify it. So if you want to learn about fastest python based numerical multi dimensional data processing framework, which is the foundation for many data science package like pandas for data analysis, sklearn scikit-learn for machine learning algorithm, you are at right place. This course introduce with all majority of concept of NumPy – numerical python library. I will teach from what and why of NumPy to all important concept of N dimension data processingThis course covers following topics. Why and What NumPy isNumPy installationCreating NumPy arrayArray indexing and slicingArray manipulationMathematical & statistical functionLinear algebra functionHow to persist NumPy arrayNumpy practical application on ImagesRGB Image to Gray scale conversionApply average and edge detection filter on imagesGo to my other course needed for Data Scientists. See you inside course. Happy learningAbbosjon Madiev

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