Data is one of the main factors determining whether machine learning projects will succeed or fail. That's why it is necessary to prepare data in the most digestible form for a future ML model.

Watch our video to find out more about data preparation for machine learning:
00:00 Intro
01:19 Dataset size
03:07 Dataset quality
04:35 Labeling
06:35 Data reduction and cleansing
09:56 Data wrangling
12:14 Feature engineering

Sources:
[1] https://www.reuters.com/articl....e/us-amazon-com-jobs
[2] https://www.sciencedirect.com/....science/article/pii/

Read more in our article: https://www.altexsoft.com/blog..../datascience/prepari

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