
“The first thing to do when developing a model is to understand the problem you are trying to solve thoroughly. This does not only involve understanding what problem you are solving, but also why you are solving it, what impact are you expecting to have, and what the currently available solution is that you are comparing your new solution to.”
―
Hands-On Machine Learning with Scikit-Learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
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