Many data science projects are launched with good intentions, but fail to deliver because the correct process is not understood. To achieve good performance and results in this work, the first steps must include clearly defining goals and outcomes, collecting data, and preparing and exploring the data. This is all about solving problems, which requires a systematic process.
Originally from KDnuggets https://ift.tt/3gcAvHx
source https://365datascience.weebly.com/the-best-data-science-blog-2020/first-steps-of-a-data-science-project
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