Essays about: "one-hot encoding"

Showing result 1 - 5 of 6 essays containing the words one-hot encoding.

  1. 1. Predicting Airbnb Prices in European Cities Using Machine Learning

    University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Author : Shalini Gangarapu; Venkata Surya Akash Mernedi; [2023]
    Keywords : Machine Learning; Supervised Learning; Regression Algorithms; Airbnb Price Prediction;

    Abstract : Background: Machine learning is a field of computer science that focuses on creating models that can predict patterns and relations among data. In this thesis, we use machine learning to predict Airbnb prices in various European cities to help the hosts in setting reasonable prices for their properties. READ MORE

  3. 2. Object Classification using Language Models

    University essay from Uppsala universitet/Signaler och system

    Author : Gustav From; [2022]
    Keywords : Classifier; BERT; machine learning; ML; language model; IMDB; word2Vec; doc2Vec; NLP;

    Abstract : In today’s modern digital world more and more emails and messengers must be sent, processed and handled. The categorizing and classification of these text pieces can take an incredibly long time and will cost the company a lot of time and money. READ MORE

  4. 3. Churn Prediction

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Alexander Åkermark; Mattias Hallefält; [2019]
    Keywords : Churn Prediction; Machine Learning;

    Abstract : Churn analysis is an important tool for companies as it can reduce the costs that are related to customer churn. Churn prediction is the process of identifying users before they churn, this is done by implementing methods on collected data in order to find patterns that can be helpful when predicting new churners in the future. READ MORE

  5. 4. Understanding Customer Problems through Text Categorisation

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Fatimah Ilona Asa Sabsono; [2018]
    Keywords : ;

    Abstract : Customer problem is a common problem that needs to be handled in the company that provides support to their customer. Abundant data that it produced makes it inefficient to do it manually, which makes machine learning as an approach that could help to solve it. READ MORE

  6. 5. An investigation of categorical variable encoding techniques in machine learning: binary versus one-hot and feature hashing

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

    Author : Cedric Seger; [2018]
    Keywords : categorical features; feature hashing; binary encoding; classi- fication; kategoriska variabler; feature hashing; binär kodning; klassi- ficering;

    Abstract : Machine learning methods can be used for solving important binary classification tasks in domains such as display advertising and recommender systems. In many of these domains categorical features are common and often of high cardinality. READ MORE