Essays about: "K-Nearest Neighbours Regression"

Showing result 1 - 5 of 6 essays containing the words K-Nearest Neighbours Regression.

  1. 1. Modelling Airbnb Prices in the Maltese Islands

    University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

    Author : Gabriella Camilleri; [2023]
    Keywords : Airbnb; Maltese Islands; Machine Learning; Geospatial Data; Transfer; Business and Economics;

    Abstract : The digital platform Airbnb has gained popularity in a number of countries particu- larly in the Maltese islands. Striking a balance in setting a price that is competitive and also renders a good profit can be a challenge. READ MORE

  3. 2. A Comparison of Machine Learning Algorithms for Predicting Winners of League of Legends Matches

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

    Author : Mikael Jafari; Joel Olbe; [2021]
    Keywords : ;

    Abstract : League of Legends is one of the largest online multiplayer games played by millions around the world. This report has studied the accuracy and efficiency of five different machine learning algorithms in predicting the winner in a match of League of Legends with data collected ten minutes after it started. READ MORE

  4. 3. AI Trained to Predict Thresholds of 2D Ellipse Percolation Systems

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

    Author : Nirav Surajlal; [2021]
    Keywords : Low-dimensional Nanomaterials; Percolation Threshold; Machine Learning; Regression; Two-dimensional Heterogeneous Ellipse System; Lågdimensionella nanomaterial; Perkolering Tröskel; Maskininlärning; Regression; Tvådimensionellt Heterogent Ellipssystem;

    Abstract : Percolation theory is a relevant area of research in Nanotechnology because of its wide applications in nanoelectronics based on thin films of nanoparticles and composites, amongst others. In nanotechnology, systems are often explored through modelling and simulations. READ MORE

  5. 4. Time series monitoring and prediction of data deviations in a manufacturing industry

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Robin Lantz; [2020]
    Keywords : Machine learning; Supervised learning; Time series classification; Manufacturing industry; Production data; Data deviations; Support Vector Machine; K-Nearest Neighbours; Linear Regression; Decision Tree; Random Forest; Neural Network; Recurrent Neural Network; Computer Science; Maskininlärning; Tidsserier; Tillverkningsindustri; Klassificerare; Avvikelser;

    Abstract : An automated manufacturing industry makes use of many interacting moving parts and sensors. Data from these sensors generate complex multidimensional data in the production environment. This data is difficult to interpret and also difficult to find patterns in. READ MORE

  6. 5. Predicting house prices with machine learning methods

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

    Author : Isak Engström; Alan Ihre; [2019]
    Keywords : ;

    Abstract : In this study, the machine learning algorithms k-Nearest-Neighbours regression (k-NN) and Random Forest (RF) regression were used to predict house prices from a set of features in the Ames housing data set. The algorithms were selected from an assessment of previous research and the intent was to compare their relative performance at this task. READ MORE