Essays about: "gradient boosting"

Showing result 1 - 5 of 46 essays containing the words gradient boosting.

  1. 1. Prediction of quote acceptance in a B2B environment using Random Forests and Gradient Boosting Machines

    University essay from Lunds universitet/Matematisk statistik

    Author : Jesper Gunnarsson; Jacob Tyrberg; [2021]
    Keywords : B2B; pricing; Random Forest; Gradient Boosting; calibration; feature engineering; Mathematics and Statistics;

    Abstract : For a business to be as successful as possible it needs a sound pricing strategy. A B2B environment allows the business more freedom to tailor each quote to maximize the performance.In order to do this, proper understanding of how probable a quote is to succeed is crucial. READ MORE

  2. 2. BLE Beacon Based Indoor Positioning System in an Office Building using Machine Learning

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Rohan Reddy Tirumalareddy; [2020]
    Keywords : Indoor Positioning System; Fingerprinting; Machine Learning; Bluetooth Low Energy;

    Abstract : Context: Indoor positioning systems have become more widespread over the past decade, mainly due to devices such as Bluetooth Low Energy beacons which are low at cost and work effectively. The context of this thesis is to localize and help people navigate to the office equipment, meeting rooms, etc. READ MORE

  3. 3. Tree-based Machine Learning Models with Applications in Insurance Frequency Modelling

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Samuel Tober; [2020]
    Keywords : ;

    Abstract : As the insurance industry is highly data driven it is no surprise that machine learning (ML) has made its way into the industry. While GLMs are still the comfort zone of most actuaries, we have in recent years seen a surge in machine learning algorithms. READ MORE

  4. 4. How Certain Are You of Getting a Parking Space? : A deep learning approach to parking availability prediction

    University essay from Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Institutionen för datavetenskap

    Author : Mathias Nilsson; Sophie von Corswant; [2020]
    Keywords : monte carlo dropout; mc dropout; long short term memory; lstm; neural network; recurrent neural network; gradient tree boosting; rnn; gradient boosting regression tree; gbrt; quantile regression; traffic congestion; parking; parking occupancy; parking availability; parking space; parking lot; machine learning;

    Abstract : Traffic congestion is a severe problem in urban areas and it leads to the emission of greenhouse gases and air pollution. In general, drivers lack knowledge of the location and availability of free parking spaces in urban cities. READ MORE

  5. 5. Modelling default probabilities: The classical vs. machine learning approach

    University essay from KTH/Matematisk statistik; KTH/Matematisk statistik

    Author : Filip Jovanovic; Paul Singh; [2020]
    Keywords : Machine learning; gradient boosting; pd-modelling; CatBoost; Random Forest; Logistic Regression; Maskininlärning; gradient boosting; fallissemangmodellering; CatBoost; Random Forest; Logistisk Regression;

    Abstract : Fintech companies that offer Buy Now, Pay Later products are heavily dependent on accurate default probability models. This is since the fintech companies bear the risk of customers not fulfilling their obligations. READ MORE