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This notebook was developed for a school challenge : predicting house prices based on a variety of features.
Jupyter Notebook 1
Spring 2018 Semester Project dealing with deep image captioning using Chaos Free RNNs
Forked from awesomedata/awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛☛☛☛
Song Recommendation System written in Python, applying the collaborative-filtering approach and adopting the ALS model (Alternating Least Squares)
Financial risk analysis on a stocks portfolio through the VaR (Value at Risk), using Monte Carlo Simulation and Multiple Linear Regression.
This notebook was developed during the Deep Learning course at Eurecom.