## Lab: EDA and Feature Engineering in Pandas --- Welcome! #### Pandas: Final Practice Problems In this homework, you're going to write code for a few problems on two datasets: * The [iris](https://www.kaggle.com/uciml/iris) dataset - a dataset of flowers whose species is classified by attributes of their flower sizes * The [NCAA March Madness](https://www.kaggle.com/c/mens-machine-learning-competition-2018) dataset - a collection of ranks for teams in the March Madness sportsball competition. You'll practice the following programming concepts we've covered in class: * Basic EDA with Pandas. * Using the `.apply()` method to create new feature columns and mutate existing columns * Broadcasting, or implementing math transformations at column scale * Dropping columns * And much, much more!