Essays about: "gradient boosting"

Showing result 26 - 30 of 126 essays containing the words gradient boosting.

  1. 26. Modeling Melodic Accents in Jazz Solos

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Misael Berrios Salas; [2023]
    Keywords : Accents; Jazz Solo; Support Vector Regression SVR ; eXtreme Gradient Boosting XGBoost ; Multiple Linear Regression MLR ; Dynamic; Accenter; Jazz Solos; Support Vector Regression SVR ; eXtreme Gradient Boosting XGBoost ; Multiple Linear Regression MLR ; Dynamisk;

    Abstract : This thesis looks at how accurately one can model accents in jazz solos, more specifically the sound level. Further understanding the structure of jazz solos can give a way of pedagogically presenting differences within music styles and even between performers. Some studies have tried to model perceived accents in different music styles. READ MORE

  3. 27. 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 teknik

    Author : Waleed Tariq; Sehrish Naqvi; [2023]
    Keywords : Granger Causality; Gradient Boosting Machine; Lasso Regression; Excess Deaths; Correlation Analysis; Stationarity;

    Abstract : 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

  4. 28. CUSTOMER CHURN PREDICTION MODEL IN TELECOMMUNICATION SECTOR USING MACHINELEARNING TECHNIQUE

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Nayema Taskin; [2023]
    Keywords : Telecommunication; Customer Retention; Churn Prediction; Machine Learning.;

    Abstract : Customer churn is a critical problem faced by telecom companies, leading to lost revenue and increased marketing costs. In the highly competitive telecommunication sector, customer retention is essential for success. It costs five to seven times more toacquire a new customer than it does to retain an existing one. READ MORE

  5. 29. Predicting IPO Underpricing: A study on the predictability of IPO underpricing through machine learning algorithms

    University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

    Author : Victor Holgersson; Axel Tardell; [2023]
    Keywords : IPO Underpricing; Machine Learning; Neural Network; Random Forest; Gradient-Boosting Trees;

    Abstract : This paper primarily serves to examine whether a specific subset of variables, derived from publicly available pre-IPO data, can be effectively modeled to predict and classify if an IPO will be underpriced using non-linear machine learning (ML) models. Secondly, we analyze whether the performance of ML-based models is greater compared to conventional linear models. READ MORE

  6. 30. Identifying Optimal Throw-in Strategy in Football Using Logistic Regression

    University essay from KTH/Matematisk statistik

    Author : Stephan Nieto; [2023]
    Keywords : Set-piece; throw-in; football analytics; optimal strategy; logistic regression; model assumptions; feature importance; feature transformations; gradient boosting; Fasta situationer; inkast; fotbollsanalys; optimal strategi; logistisk regression; modellantaganden; variabelvikt; variabeltransformationer; gradient boosting;

    Abstract : Set-pieces such as free-kicks and corners have been thoroughly examined in studies related to football analytics in recent years. However, little focus has been put on the most frequently occurring set-piece: the throw-in. READ MORE