After in-depth data exploration and feature engineering I often spent hours or days experimenting with various sklearn models and performing hyper parameter grid search. Now I use an open source package, TPOT (https://epistasislab.github.io/tpot/), that fully automates not only grid search but also selection of the learning algorithm (SVM, Random Forest, K-NN, etc). If your data set is small enough for sklearn, then you should not be writing sklearn code manually.
For those that are interested, TPOT uses evolutionary algorithms to perform its search.
For those that are interested, TPOT uses evolutionary algorithms to perform its search.