The purpose of scikit-learn

As we have seen before, scikit-learn allowed us to find a model that works fairly quickly. We tried SVC, logistic regression, and a few KNN classifiers. Through cross-validation, we selected models that performed better than others. In industry, after trying SVMs and logistic regression, we might focus on SVMs and optimize them further. Thanks to scikit-learn, we saved a lot of time and resources, including mental energy. After optimizing the SVM at work on a realistic dataset, we might re-implement it for speed in Java or C and gather more data.