├── Practical deep learning day 1.pdf ├── Practical deep learning day 2.pdf ├── Practical deep learning day 3.pdf ├── Practical deep learning day 4.pdf ├── Practical deep learning day 5.pdf ├── README.md ├── anomaly └── ae_anomaly.py ├── data_science_ua └── finance_workshop_2020 │ ├── Introduction time series forecasting 1.ipynb │ ├── Introduction time series forecasting 2.ipynb │ ├── Introduction time series forecasting 3.ipynb │ ├── Introduction time series forecasting 4.ipynb │ ├── Introduction time series forecasting 5.ipynb │ ├── aapl_dataset.csv │ ├── dsua_finance.pdf │ ├── readme.md │ └── utils.py ├── deep learning.pdf ├── ml_milano └── intro_to_financial_ml │ ├── Apply AI Finance Webinar.pdf │ ├── Introduction time series forecasting 2.ipynb │ ├── Introduction time series forecasting 3.ipynb │ ├── Introduction time series forecasting 4.ipynb │ ├── Introduction time series forecasting.ipynb │ ├── aapl_dataset.csv │ ├── readme.md │ └── utils.py ├── multitask_dsua_2018 ├── accelerometer │ ├── Activity recognition.ipynb │ ├── feature_calculators.py │ └── utils.py ├── emotion_detection │ ├── Emotion recognition.ipynb │ ├── data.py │ └── utils.py ├── numerai │ ├── clr_callback.py │ ├── numeraicb.py │ └── test_mt.py └── siamese_mt │ └── mnist-siamese-multitask.ipynb ├── ucu202ss ├── Day 1 - Portfolio Optimization.ipynb ├── Day 2 - Time Series 5, New Features and ReTraining FIXED OVERFIT.ipynb ├── Day 2: TIme Series 3.ipynb ├── Day 2: Time Series 1.ipynb ├── Day 2: Time Series 2.ipynb ├── Day 2: Time Series 4, testing ideas.ipynb ├── Day 2: Time Series 5, New Features and ReTraining.ipynb ├── FDS Day 1 + Day 2.pdf ├── FDS Day 1.pdf ├── aapl_dataset.csv ├── prices.txt └── readme.md └── univr_2018_ts ├── AirQualityUCI.csv ├── ETH1518.csv ├── LTC Backtesting with Pandas.ipynb ├── LTC1518.csv ├── Neural networks for time series analysis 1.pdf ├── Neural networks for time series analysis 2.pdf ├── Neural networks for time series analysis 3.pdf ├── 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