# 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