This one Python command trains 15 ML models and picks the best one. Most data scientists spend days writing sklearn pipelines. Importing models one by one. Writing train-test splits. Tuning hyperparameters. Comparing metrics in spreadsheets. Here's the shortcut: Install PyCaret. Run compare_models(). It automatically trains 15+ algorithms on your data and shows a ranked leaderboard. Best model selected in 30 seconds. Stop building ML pipelines from scratch. Let Python do the comparison for you. Comment "ML" for the full walkthrough and save this before your next model. #PythonForDataScience #MachineLearning #AutoML #DataAnalyticsTips