Algorithmic-Machine-Learning: Jupyter Notebooks

Notebooks done in my course Algorithmic Machine Learning at EURECOM in Spring 2018, with prof. Pietro Michiardi.

They include 2 labs and a challenge:

• lab 1: Music Recommender System
• lab 2: Estimate Financial Risk through Monte Carlo Simulation
• challenge: one-month challenge on predicting house prices, based on a Kaggle challenge

Details

• Language: Python over Jupyter Notebooks.
• Execution: set over a remote Spark cluster in EURECOM, managed by Zoe
• Libraries: numpy, pandas, matplotlib, pyspark

Authors

• Albane Bonnaud
• Kim-Anh-Nhi Nguyen @kanguyn

Sources and acknowledgments

The rough sketches of all the notebooks are the main focus of the course Algorithmic Machine Learning in EURECOM, and in particular Pietro Michiardi The rough sketches of all the notebooks are the main focus of the course Algorithmic Machine Learning in EURECOM, and in particular Pietro Michiardi