Sökning: "Random Forest Regression"

Visar resultat 16 - 20 av 269 uppsatser innehållade orden Random Forest Regression.

  1. 16. Using Social Media and Personality Predictions to Anticipate Startup Success

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Daniel Stenson; [2023]
    Nyckelord :Machine Learning; Startup Success Predictions; Founder Personalities; Natural Language Processing; Social Media Analysis; Big 5 Personality Framework; Feed-forward Neural Network; XGBoost.; Mathematics and Statistics;

    Sammanfattning : This thesis explores the potential of integrating predicted founder personalities, based on the Big 5 Personality Framework, into Machine Learning (ML) models to enhance the accuracy of early-stage startup success predictions. Leveraging Natural Language Processing (NLP) techniques, we extracted personality insights from founders' tweets, focusing on US startups funded between 2013 and 2015. LÄS MER

  3. 17. Predicting Risk Level in Life Insurance Application : Comparing Accuracy of Logistic Regression, DecisionTree, Random Forest and Linear Support VectorClassifiers

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Pulagam Karthik Reddy; Sutapalli Veerababu; [2023]
    Nyckelord :Decision Tree Classifier; Logistic Regression; Machine Learning; Random Forest Classifier; Linear Support Vector Classifier;

    Sammanfattning : Background: Over the last decade, there has been a significant rise in the life insurance industry. Every life insurance application is associated with some level ofrisk, which determines the premium they charge. The process of evaluating this levelof risk for a life insurance application is time-consuming. LÄS MER

  4. 18. Auto-scaling Prediction using MachineLearning Algorithms : Analysing Performance and Feature Correlation

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Syed Saif Ahmed; Harshini Devi Arepalli; [2023]
    Nyckelord :Cloud Computing; Predictive Auto-Scaling; Machine Learning; Data Correlation;

    Sammanfattning : Despite Covid-19’s drawbacks, it has recently contributed to highlighting the significance of cloud computing. The great majority of enterprises and organisations have shifted to a hybrid mode that enables users or workers to access their work environment from any location. LÄS MER

  5. 19. Risk Stratification of Endometriosis through Machine Learning using Lifestyle Data : An Extensive Analysis on Lifestyle Data to Reveal Patterns in People with Endometriosis

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Patrick Carrera Jeri; [2023]
    Nyckelord :Lifestyle fators; Machine learning; Risk stratification; Endometriosis; Livsstilsfaktorer; Maskininlärning; Riskstratifiering; Endometrios;

    Sammanfattning : Endometriosis affect 11% of women of reproductive years worldwide. The project made use of lifestyle factors coming from the Lucy application. LÄS MER

  7. 20. Applying unprocessed companydata to time series forecasting : An investigative pilot study

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :August Rockström; Emelie Sevborn; [2023]
    Nyckelord :Demand Forecasting; Irregular Time Series; Sales Prediction; Dataset Evaluation; Data Preprocessing;

    Sammanfattning : Demand forecasting for sales is a widely researched topic that is essential for a business to prepare for market changes and increase profits. Existing research primarily focus on data that is more suitable for machine learning applications compared to the data accessible to companies lacking prior machine learning experience. LÄS MER