Data analysis in Python with pandas - How do I use pandas with scikit-learn to create Kaggle submissions?

Have you been using scikit-learn for machine learning, and wondering whether pandas could help you to prepare your data and export your predictions? In this video, I'll demonstrate the simplest way to integrate pandas into your machine learning workflow, and will create a submission for Kaggle's Titanic competition in just a few lines of code! VIDEO: What is machine learning, and how does it work? https://www.youtube.com/watch?v=elojMnjn4kk&list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A&index=1 VIDEO SERIES: Introduction to machine learning with scikit-learn: https://www.youtube.com/playlist?list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A SUBSCRIBE to learn data science with Python: https://www.youtube.com/dataschool?sub_confirmation=1 JOIN the "Data School Insiders" community and receive exclusive rewards: https://www.patreon.com/dataschool == RESOURCES == GitHub repository for the series: https://github.com/justmarkham/pandas-videos Kaggle's Titanic competition: https://www.kaggle.com/c/titanic "loc" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.loc.html "DataFrame" constructor documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html "to_csv" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_csv.html "to_pickle" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_pickle.html "read_pickle" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_pickle.html == LET'S CONNECT! == Newsletter: https://www.dataschool.io/subscribe/ Twitter: https://twitter.com/justmarkham Facebook: https://www.facebook.com/DataScienceSchool/ LinkedIn: https://www.linkedin.com/in/justmarkham/