Machine Learning Engineer Nanodegree

Capstone Project

Repository Contents:

• Capstone Project Report.pdf: Where I put my analysis
• model.py: The model pipeline
• model_GridSearch_tuning.ipynb: Where I doing grid search and testing to optimize the model

The software and libraries used in the project

• NumPy
• Pandas
• matplotlib
• scikit-learn
• XGBoost
• seaborn

What the project is about

I'm interested in financial data. I choose this kaggle challenge as my capstone project in Udacity's Machine Learning Engineer Nanodegree, to practicing time series, model tuning and financial data.

Download the dataset

https://www.kaggle.com/c/two-sigma-financial-modeling/data, put the data file in the same directory, then start the python file.