{ "metadata": { "name": "", "signature": "sha256:24ea30c36b4399e03ab31cfcb6ff4fbaa33cea381b4ba63356908edd98860d42" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "7. A brief conclusions" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Predicting the tips in the NYC taxis with an accuracy of `71.74%` using `random forests`. Cool! Especially considering the next issues:\n", "\n", "* The initial status of the data.\n", "* There is no information to use about the passangers, a **essential** data for trying to accomplish this task.\n", "* It's my first time with a *real* case.\n", "\n", "![Thumbs up computer kid](../resources/thumbs_up_computer_kid.gif \"Thumbs up computer kid\")\n", "\n", "Think what you could do with this dataset adding more information sources like:\n", "\n", "* Weather\n", "* Subway and bus\n", "* Plane and train arrivals and departures\n", "* Sports and concerts\n", "* ... *whatever* you can imagine\n", "\n", "You could solve a huge range of problems!\n", "\n", "So, feel completely free to fork the repository and play with the notebooks. And if you have any problem, please contact me at my [GitHub](https://github.com/josemazo) or [Twitter](https://twitter.com/josemazo) accounts.\n", "\n", "Finally, I'd like to say thank you again for the data [Chris](https://twitter.com/chris_whong). And of course, thank you too [Fernando](http://www.cs.us.es/~fsancho/) for supervising all my work." ] } ], "metadata": {} } ] }