Department of Statistics
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- 2022
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Mark
Examensgraden vid yrkeshögskolan i Sverige - En multipel logistisk regression
(
- Bach. Degree
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Mark
Kommuners måluppfyllelse utifrån Agenda 2030 – en statistisk jämförelse av resultat och förutsättningar
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- Bach. Degree
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Mark
Performance of Stochastic Volatility and GARCH Models in Different Market Regimes
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- Bach. Degree
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Mark
Rätt sida femprocentsspärren
(
- Bach. Degree
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Mark
Classification of Premium and Non-Premium Products using XGBoost and Logistic Regression
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- Master (One yr)
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Mark
Household Energy Cost Optimization Using Deep Reinforcement Learning
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- Master (One yr)
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Mark
How to apply Machine learning to fight against fake news - A case study in Vietnam
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- Master (One yr)
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Mark
Imbalanced Predictions
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- Master (One yr)
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Prospectus Content as Predictor of IPO Outcome: A topic model approach
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- Master (One yr)
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Mark
Comparison of Machine Learning Algorithms in Predicting the Age Distribution Parameters of H&M Product Customers
(
- Master (One yr)