Sökning: "Random Forest Regression"

Visar resultat 11 - 15 av 269 uppsatser innehållade orden Random Forest Regression.

1. 11. Sentiment-Driven Cryptocurrency Price Prediction : A Comparative Analysis of AI Models

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Jammithri Kotapati; Suma Vendrapu; [2023]
   Nyckelord :Artificial Intelligence; Cryptocurrency Prices; News Articles; Sentiment Analysis; Social Media Posts. ii;

   Sammanfattning : Background: In the last few years, there has been rapid growth in the use of cryptocurrency, as it is a form of digital currency and was developed using blockchain technology, so it is almost impossible to counterfeit cryptocurrency. Due to these features, it has attracted a lot of popularity and attention in the market. LÄS MER

3. 12. Predicting the Movement of the S&P 500 Index using Machine Learning

   Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

   Författare :Bakary Bah; [2023]
   Nyckelord :Machine Learning; S P 500 Index; Random Forest; Logistic Regression; Business and Economics;

   Sammanfattning : Predicting the stock market has been a longstanding topic of interest in financial research. It is regarded as a highly challenging but important task given the vital role the financial markets play in shaping the global economies. In this thesis, the goal is to predict the movement of the S&P 500 Index using machine learning methods. LÄS MER

4. 13. A Predictive Analysis of Customer Churn

   Kandidat-uppsats, KTH/Matematisk statistik

   Författare :Olivia Eskils; Anna Backman; [2023]
   Nyckelord :Churn prediction; CRM; optimization; applied mathematics; machine learning; gradient boosting; random forest; logistic regression; insurance industry; Kundbortfall; CRM; optimering; tillämpad matematik; maskininlärning; gradient boosting; random forest; logistisk regression; försäkringsbranschen;

   Sammanfattning : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. LÄS MER

5. 14. Predicting Cross-Platform Performance : A Case Study on Evaluating Predictive Models and Exploring the Economic Consequences in Software Testing

   Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

   Författare :Adam Bredfell; Gustav Roll; [2023]
   Nyckelord :cross-platform performance; process innovation; creative destruction; predictive models;

   Sammanfattning : Background: In today's digital world, there is increasing importance on cross-platform performance testing and the challenges faced by businesses in achieving efficient performance for applications across multiple platforms. Predictive models, such as machine learning and regression, have emerged as potential solutions to predict performance to be quickly analyzed, thus eliminating the need to execute an entire environment. LÄS MER

7. 15. Probability of Default Machine Learning Modeling : A Stress Testing Evaluation

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Tobias Andersson; Mattias Mentes; [2023]
   Nyckelord :Probability of Default; Machine Learning; Stress Testing; Logistic Regression; Decision Tree; Random Forest; Artificial Neural Network;

   Sammanfattning : This thesis aims to assist in the development of machine learning models tailored for stress testing. The main objective is to create models that can predict loan defaults while considering the impact of macroeconomic stress. LÄS MER