Introduction to Scikit-Learn
While pandas will save you a lot of time in loading, examining, and cleaning data, the machine learning algorithms that will enable you to do predictive modeling are located in other packages. We consider scikit-learn to be the premier machine learning package for Python, outside of deep learning. While it's impossible for any one package to offer "everything," scikit-learn comes pretty close in terms of accommodating a wide range of approaches for classification and regression, and unsupervised learning. That being said, a few other packages you should also be aware of are as follows:
SciPy:
Most of the packages we've used so far are actually part of the SciPy ecosystem.
SciPy itself offers lightweight functions for classical approaches such as linear regression and linear programming.
StatsModels:
More oriented toward statistics and more comfortable for users familiar with R
Can get p-values and confidence intervals on regression coefficients
Capability for time series...