ML using scikit-learn
To develop a model, we need datasets. Web scraping is again the perfect technique to collect the desired data and store it in the relevant format. There are plenty of ML-related libraries and frameworks available in Python, and they are growing in number. scikit-learn is a Python library that addresses and helps to deal with the majority of supervised ML features.
scikit-learn is also known and used as sklearn. It is built upon numpy, scipy, and matplotlib. The library provides a large number of features related to ML aspects such as classification, clustering, regression, and preprocessing. We will explore beginner and intermediate concepts of the supervised learning type with regression using scikit-learn. You can also explore the sklearn user guide available at https://scikit-learn.org/stable/user_guide.html.
We have covered a lot of information about regression in previous sections of this chapter. Regression is a supervised learning technique that is...
