Essays about: "Lasso"
Showing result 11 - 15 of 100 essays containing the word Lasso.
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11. Investigating the Impact of Air Pollution, Meteorology, and Human Mobility on Excess Deaths during COVID-19 in Quito : A Correlation, Regression, Machine Learning, and Granger Causality Analysis
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : Air pollution and meteorological conditions impact COVID-19 mortality rates. This research studied Quito, Ecuador, using Granger causality tests and regression models to investigate the relationship between pollutants, meteorological variables, human mobility, and excess deaths. READ MORE
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12. Exploring Alarm Data for Improved Return Prediction in Radios : A Study on Imbalanced Data Classification
University essay from Uppsala universitet/Matematiska institutionenAbstract : The global tech company Ericsson has been tracking the return rate of their products for over 30 years, using it as a key performance indicator (KPI). These KPIs play a critical role in making sound business decisions, identifying areas for improvement, and planning. READ MORE
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13. Beating the odds : Machine Learning for football match prediction
University essay from Jönköping University/Tekniska HögskolanAbstract : This study aimed to compare the accuracy of machine learning models with the probabilities generatedby sports betting companies in predicting the outcome of football matches. The study also investigatedthe impact of different feature combinations on the performance of machine learning models for predicting football match outcomes. READ MORE
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14. Forecasting airline revenue across markets with machine learning
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Sales forecasting is an important aspect of business strategy, as it helps companies make informed decisions for their business development. With the rise of machine learning and AI, companies are using statistical and machine learning models to forecast short-term and long-term sales more accurately. READ MORE
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15. Nowcasting U.S. inflation using mixed frequency real-time data
University essay from Lunds universitet/Matematisk statistikAbstract : Different models were developed with the aim of nowcasting inflation at a daily basis with high frequency variables, while using real-time data to avoid look ahead bias. Both popular machine learning models such as Random Forest and XGBoost, and more traditional models such as UMIDAS and Almon distributed lag models were used to make the nowcasts. READ MORE