Inclusion of number of columns in analysis when data contains large number of features

You can choose important columns based on Business acumen.
Let's say, given that there are 150 features, task is a bit tedious but there is no workaround for it.
In Machine Learning, there is a concept called Dimensionality Reduction which can help reduce the number of dimensions, but there is a trade-off which you will be learning in Machine Learning Intermediate.

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