Sökning: "LASSO-regression"

Visar resultat 16 - 20 av 41 uppsatser innehållade ordet LASSO-regression.

  1. 16. Predicting PV self-consumption in villas with machine learning

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :FABIAN GALLI; [2021]
    Nyckelord :Self-Consumption; photovoltaics; machine learning; solar energy; Random Forest; K-nearest neighbor; multi-layer perceptron; lasso regression; ridge regression; linear regression; prediction; Egenanvändning; photovoltaics; maskininlärning; solenergi; Random Forest; K-nearest neighbors; multi-layer perceptron; lasso regression; ridge regression; linjär regression; data-förutsägelse;

    Sammanfattning : In Sweden, there is a strong and growing interest in solar power. In recent years, photovoltaic (PV) system installations have increased dramatically and a large part are distributed grid connected PV systems i.e. rooftop installations. LÄS MER

  3. 17. Is there macroeconomic predictive power in Swedish business news?

    Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Erik Ris; [2021]
    Nyckelord :Topic modelling; Sentiment Analysis; Newspaper Data; NLP; Lasso Regression; Business and Economics;

    Sammanfattning : This thesis explores if, and how, what is written in the newspaper can be used to forecast macroeconomic variables such as inflation, unemployment and consumption. A large data set consisting of articles from the largest Swedish business newspaper is transformed using different methods from the Natural Language Processing field. LÄS MER

  4. 18. Index replication within Corporate Investment Grade - With implementation of Lasso regression in order to analyze the impact of key figures

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Shaida Faiqi; [2021]
    Nyckelord :Lasso Regression; Linear Programming; Index Tracking; Lasso regression; linjär programmering; index replikering;

    Sammanfattning : The fixed income market is not as exploited as other markets and has a more complex structure compared with the equity market. On the other hand, it has been seen that demand for research for the fixed income market has increased, which in turn has created greater interest in studying the characteristics of holdings in the market. LÄS MER

  5. 19. Statistical and Machine Learning for assessment of Traumatic Brain Injury Severity and Patient Outcomes

    Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

    Författare :Md Abdur Rahman; [2021]
    Nyckelord :TBI Traumatic brain injury ; Metabolites; Glasgow coma scale; Severity; Patient outcomes; CT positive negative; Random Forest; Boruta; Lasso regression; Ridge regression; Neural network; Deep learning.;

    Sammanfattning : Traumatic brain injury (TBI) is a leading cause of death in all age groups, causing society to be concerned. However, TBI diagnostics and patient outcomes prediction are still lacking in medical science. LÄS MER

  7. 20. Comparing Variable Selection Algorithms On Logistic Regression – A Simulation

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :KEVIN SINGH; [2021]
    Nyckelord :Simulation-study; stepwise-regression; backward elimination; lasso-regression;

    Sammanfattning : When we try to understand why some schools perform worse than others, if Covid-19 has struck harder on some demographics or whether income correlates with increased happiness, we may turn to regression to better understand how these variables are correlated. To capture the true relationship between variables we may use variable selection methods in order to ensure that the variables which have an actual effect have been included in the model. LÄS MER