Byte 1 - Data Processing for Machine Learning

This is our 1st Byte in our Civil Engineering Byte Series (From Basics to Beyond). This byte series is a part of our Civil Engineering Mega Series package. All courses in this mega series package are free forever for all the enrolled students.

In this byte, a step-by-step working example showing the processing of data for machine learning is presented. In this byte you will learn,

How to process data for machine learning?
How to split strings, strip unnecessary strings, extract numbers from strings?
How to drop rows containing NaN values?
How to remove outliers and many more?

The knowledge you will get in this post will be invaluable as you work towards your placements. Furthermore, the skills and knowledge gained from this post may also help you choose better projects for your mini and major projects for your graduate and undergraduate studies.

See you in the project.

Thanks and Regards,

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