TLDR
We all have to deal with data, and we try to learn about and implement machine learning into our projects. But everyone seems to forget one thing... it's far from perfect, and there is so much to go through! Don't worry, we'll discuss every little step, from start to finish. We start with trying to get our data into Python, but the process can be slightly... involved. The hard part about data cleaning isn't the coding or theory, but instead our preparation! We need to prepare ourselves for the best and worst parts of our data.via the TL;DR App
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Written by KamWithK | Data Scientist/Machine Learning Engineer
