Essays about: "gain boosting"

Showing result 1 - 5 of 18 essays containing the words gain boosting.

  1. 1. Understanding Sales Performance Using Natural Language Processing - An experimental study evaluating rule-based algorithms in a B2B setting

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Angelica Smedberg; [2023]
    Keywords : NLP; Sentiment Analysis; Ruled-based algorithms; TextBlob; VADER; Naïve Bayes; Machine Learning;

    Abstract : Natural Language Processing (NLP) is a branch in data science that marries artificial intelligence with linguistics. Essentially, it tries to program computers to understand human language, both spoken and written. Over the past decade, researchers have applied novel algorithms to gain a better understanding of human sentiment. READ MORE

  3. 2. A Predictive Analysis of Customer Churn

    University essay from KTH/Matematisk statistik

    Author : Olivia Eskils; Anna Backman; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  4. 3. Data-Driven Traffic Forecasting for Completed Vehicle Simulation: : A Case Study with Volvo Test Trucks

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Samaneh Shahrokhi; [2023]
    Keywords : supervised machine learning; traffic forecasting; vehicle presence prediction; binary classification; ensemble learning; feature engineering; hyperparameter tuning; data-driven analysis;

    Abstract : This thesis offers a thorough investigation into the application of machine learning algorithms for predicting the presence of vehicles in a traffic setting. The research primarily focuses on enhancing vehicle simulation by employing data-driven traffic prediction methods. The study approaches the problem as a binary classification task. READ MORE

  5. 4. 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

  6. 5. Evaluating Feature Selection Methods for Automated Computer Based Diagnostics of Diabetes

    University essay from KTH/Datavetenskap

    Author : Erik Wachtmeister; Noel Karlsson Johansson; [2022]
    Keywords : ;

    Abstract : Diabetes affects roughly 8% of the world population over the age of 18 and causes approximately 5 million deaths for people over the age of 20 each year. Furthermore, maybe half of all people with diabetes are undiagnosed. They could be diagnosed with automated computer-based diagnostics, but machine learning has its challenges. READ MORE