#Precompiler - Unleash the computer on your data Codemash 2017
Amber McKenzie
All attendees should create a kaggle login (https://www.kaggle.com/).
We will be working through the kaggle site so installing the requirements locally is optional. (There are read-only versions of the notebooks if internet troubles crop up)
##Pre-requisite installation (optional)
- Python 3 (https://www.python.org/downloads/)
- pip
###Install Python Libraries (automated option): Run command in repo folder: pip install -r requirements.txt
###Install Python Libraries (manual option):
- numpy
- jupyter
- sklearn
- scipy
- pandas
##Kaggle dataset links https://www.kaggle.com/c/digit-recognizer
https://www.kaggle.com/c/house-prices-advanced-regression-techniques
https://www.kaggle.com/c/word2vec-nlp-tutorial
https://www.kaggle.com/c/titanic
##Kaggle notebook links https://www.kaggle.com/nlprunner/digit-recognizer/digit-recognizer-with-scikit-learn/
https://www.kaggle.com/nlprunner/titanic/titanic-practice-with-scikit-learn/