# Kaggle Platform and Competition (Level 3 - Coding)

Instructor: Michael Hess (QCL Mentor)

## Summary

In this workshop, participants learn how to participate in Kaggle competitions through hands-on examples. The inststuctor will cover Kaggle platform, Kaggle competition, and Python's data analysis and machine learning packages: pandas and scikit-learn in Jupyter Notebook environment (either via Kaggle or Colab). Participants are expected to have some Python programming background and be ready to use Jupyter Notebook.

### Learning Objectives:

After the workshop, the participants will be able to

Use Jupyter Notebook
Join in a Kaggle competition
Build a machine learning model using scikit-learn package in Python
Know how to find a better model

### Pre-requisites

Kaggle account -- If you don't have one yet, please create a new account at https://www.kaggle.com before joining the workshop.
Python programming background
Jupyter Notebook environment (if BYOL) -- To install Jupyter Notebook, please install it before joining the workshop (see https://jupyter.org/install).

## Date and Time

November 1, 2019 from 1 pm to 3:00 pm (2 hours)

## Location

Roberts Hall North 12

## Participants

CMC Students, Faculty and Staff; Open to The Claremont Colleges

[QCL Workshop] Kaggle Platform and Competition (Level 3 – Coding)