Sökning: "Multiple Linear Regression"

Visar resultat 1 - 5 av 558 uppsatser innehållade orden Multiple Linear Regression.

  1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Nikolaos Staikos; [2024]
    Nyckelord :Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Sammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER

  2. 2. ML implementation for analyzing and estimating product prices

    Kandidat-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Abel Getachew Kenea; Gabriel Fagerslett; [2024]
    Nyckelord :Machine Learning; ML; Regression; Deep Learning; Artificial Neural Network; ANN; TensorFlow; ScikitLearn; CUDA; cuDNN; Estimation; Prediction; AI; Artificial Intelligence; Price Tracking; Price Logging; Price Estimation; Supervised Learning; Random Forest; Decision Trees; Batch Learning; Hyperparameter Tuning; Linear Regression; Multiple Linear Regression; Maskininlärning; Djup lärning; Artificiellt Neuralt Nätverk; Regression; TensorFlow; SciktLearn; ML; ANN; Estimation; Uppskattning; CUDA; cuDNN; AI; Artificiell Intelligens; pris loggning; pris estimation; prisspårning; Batchinlärning; Hyperparameterjustering; Linjär Regression; Multipel Linjär Regression; Supervised Learning; Random Forest; Decision Trees;

    Sammanfattning : Efficient price management is crucial for companies with many different products to keep track of, leading to the common practice of price logging. Today, these prices are often adjusted manually, but setting prices manually can be labor-intensive and prone to human error. LÄS MER

  3. 3. Predicting Lithium-Ion Battery State of Health using Linear Regression

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Niklas Sundberg; [2024]
    Nyckelord :Lithium-Ion; Multiple Linear Regression; State of Health; Voltage Deviation;

    Sammanfattning : Knowledge of battery health is very important. It provides insight into the capacity of a given system and allows the operators to plan ahead more efficiently. But measuring state of health (SoH) of a battery is difficult, and takes time. More importantly, the battery needs to be taken out of operation to be analysed correctly. LÄS MER

  4. 4. Gymnasieelevers motivation & betyg : En kvantitativ studie om sambandet, och könsskillnaderna mellan motivationstyp och betygsambitioner i idrott & hälsa.

    Uppsats för yrkesexamina på avancerad nivå, Gymnastik- och idrottshögskolan, GIH/Institutionen för rörelse, kultur och samhälle

    Författare :Gustaf Könberg; Viktor Trojmar; [2024]
    Nyckelord :Motivation; Ambition; Könsskillnader; Idrott och Hälsa;

    Sammanfattning : Syfte & Hypoteser: Syftet med denna studie var att undersöka sambandet mellan motivationstyp och betygsambitioner hos gymnasieelever i ämnet idrott och hälsa. Samt att analysera eventuella skillnader mellan könen avseende både motivationstyp och betygsambitionsnivå. LÄS MER

  5. 5. Digitaliseringsgradens måttstock: En analytisk diskussion om nyckeltals potential att estimera digitalisering i svenska börsföretag

    Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionen

    Författare :Anton Remäng; Rickard Palm; Frida Jagler; [2023-09-01]
    Nyckelord :Digitalization; Digital intensity; PPE Turnover; Revenue per Employee RPE ; Tobin’s Q.;

    Sammanfattning : The advent of digitalization has significantly redefined the operational landscape of businesses worldwide. Given the influence of digitalization on organizational performance, it is essential to effectively quantify and comprehend its level within a firm. LÄS MER