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University of Southern California
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Deep-Ensemble-learning-on-stock-price
Deep-Ensemble-learning-on-stock-price PublicA blending ensemble model for return predictions by stacking a support vector regressor onto time embedding layer & Transformer encoder layers (Keras); tested the model on NVDA
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Pair-trading
Pair-trading PublicThis is a repository for Apollo11, a statistical arbitrage project hosted by QuantSC at the University of Southern California. Project team: Jack DePascale, Danny Bohen, Yidan Sun, Paul Kim, Matthe…
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Yelp-Review
Yelp-Review PublicTips generation for Yelp Reviews and review importance evaluation using TF-IDF, word2vec, and other NLP methods.
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Prediction-of-the-Area-of-Forest-Fires
Prediction-of-the-Area-of-Forest-Fires Publica predictive analytics approach (regression&tree based model) to predict the burned area of forest fires, in the northeast region of Portugal, by using the components from The Canadian Forest Fire …
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Predictive-Analytics-on-Online-E-Sports-Ranking-
Predictive-Analytics-on-Online-E-Sports-Ranking- PublicRanked LOL teams by adopting Massey’s Method, Bradley-Terry Model and ELO Algorithm using R; integrated these models utilizing Entropy Weight method; increased ranking prediction accuracy by 30%.
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Single-factor-effectiveness-test-
Single-factor-effectiveness-test- Public#multivariable linear regression models to test factor effectiveness using return significance analysis, information coefficient analysis and hierarchical portfolio back-test analysis (Scikit-learn).
Python
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