Sökning: "Övervakade inlärningsmodeller"

Hittade 2 uppsatser innehållade orden Övervakade inlärningsmodeller.

1. 1. Predicting House Prices on the Countryside using Boosted Decision Trees

   Master-uppsats, KTH/Matematisk statistik

   Författare :War Revend; [2020]
   Nyckelord :Machine Learning; Predicting House Prices; Shrinkage Methods; Random Forest; Decision Tree; AdaBoost; Gradient Boosting; LightGBM; CatBoost; XGBoost; Maskininlärning; Förutseende av Huspriser; Krympningsmetoder; Random Forest; Beslutsträd; AdaBoost; Gradient Boosting; LightGBM; CatBoost; XGBoost;

   Sammanfattning : This thesis intends to evaluate the feasibility of supervised learning models for predicting house prices on the countryside of South Sweden. It is essential for mortgage lenders to have accurate housing valuation algorithms and the current model offered by Booli is not accurate enough when evaluating residence prices on the countryside. LÄS MER

3. 2. Prediction of Optimal Packaging Solution using Supervised Learning Methods

   Master-uppsats, KTH/Matematisk statistik

   Författare :Anirudh Venkat Chari; [2020]
   Nyckelord :Supervised learning; machine learning; product packaging; logistics; Övervakade inlärningsmodeller; förpackningslösning; logistik; maskininlärning;

   Sammanfattning : This thesis investigates the feasibility of supervised learning models in the decision-making problem to package products and predict an optimal packaging solution. The decision-making problem was broken down into a multi-class classification and a regression problem using relevant literature. LÄS MER