arXiv:2401.10903
Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock
원문 초록
This document presents a stock market analysis conducted on a dataset consisting of 750 instances and 16 attributes donated in 2014-10-23. The analysis includes an exploratory data analysis (EDA) section, feature engineering, data preparation, model selection, and insights from the analysis. The Fama French 3-factor model is also utilized in the analysis. The results of the analysis are presented, with linear regression being the best-performing model.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Gradient Boosting for Spatial Regression Models with Autoregressive Disturbances
Universal Reusability in Recommender Systems: The Case for Dataset- and Task-Independent Frameworks
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting
Extraction of Heart Rate from PPG Signal: A Machine Learning Approach using Decision Tree Regression Algorithm
ATM: A distributed, collaborative, scalable system for automated machine learning
토론
이 논문과 연결된 포럼 글이 아직 없습니다.