The second of seven live workshops by DataKwery for building Machine Learning models in Python with Scikit-learn. This workshop covers the basics of feature engineering and pipeline building, including outlier handling, scaling, power transformation, and one-hot encoding.Read more.
The techniques and tools covered in Feature Engineering Foundations in Python with Scikit-learn are most similar to the requirements found in Data Scientist job advertisements.
