Essays about: "the Prophet model"

Showing result 1 - 5 of 20 essays containing the words the Prophet model.

  1. 1. Can secular practice and education revive interest in religion in secular Sweden? : A study on the impact of secularism on religious education in Sweden

    University essay from Högskolan i Gävle/Avdelningen för humaniora

    Author : MOHD NURUL MOMEN; [2023]
    Keywords : Islam: A monotheistic religion characterized by the doctrine of absolute submission to God and reverence for Muhammad as God s chief and last prophet. Islamism: A movement advocating the social and political establishment of Islamic fundamentalism. Quran: The sacred text of Islam; divided into 114 chapters; or suras: revered as the word of God; dictated to Muhammad by the archangel Gabriel and accepted as the foundation of Islamic law; religion; culture; and politics. Secularism: Free from preconceived notions and critical influences and allows one to see oneself as equal to another. It is in this context as indifference to or rejection or exclusion of religion and religious considerations. Religion: A unified system of beliefs and practices relative to sacred things. Or a set of beliefs concerning the cause; nature; and purpose of the universe; especially when considered as the creation of a superhuman agency or agencies; usually involving devotional and ritual observances; and often containing a moral code governing the conduct of human affairs.;

    Abstract : Abstract: The thesis shows that there are no religious barriers in Sweden. It is entirely possible to teach religion in a secular way. READ MORE

  2. 2. Forecasting Monthly Swedish Air Traveler Volumes

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Mark Becker; Peter Jarvis; [2023]
    Keywords : Forecasting; SARIMA; Neural network autoregression; Exponential smoothing; the Prophet model; Random Walk; MAE; MAPE; RMSE;

    Abstract : In this paper we conduct an out-of-sample forecasting exercise for monthly Swedish air traveler volumes. The models considered are multiplicative seasonal ARIMA, Neural network autoregression, Exponential smoothing, the Prophet model and a Random Walk as a benchmark model. READ MORE

  3. 3. Forecasting Efficiency in Cryptocurrency Markets : A machine learning case study

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

    Author : Erik Persson; [2022]
    Keywords : Cryptocurrencies; Financial time-series; Multi step-ahead forecasting; Machine Learning; Feature selection; Kryptovalutor; Finansiella tidsserier; Flerstegsprognoser; Maskininlärning; variabelselektion;

    Abstract : Financial time-series are not uncommon to research in an academic context. This is possibly not only due to its challenging nature with high levels of noise and non-stationary data, but because of the endless possibilities of features and problem formulations it creates. READ MORE

  4. 4. Forecasting checking account balance : Using supervised machine learning

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Martin Dannelind; [2022]
    Keywords : Time series forecasting; account balance forecasting; economic predicition; Python; GRU; LSTM; RNN; XGBoost; prophet; checking account;

    Abstract : The introduction of open banking has made it possible for companies to build the next generation of applications based on transactional data. Enabling economic forecasts which private individuals can use to make responsible financial decisions. This project investigated forecasting account balances using supervised learning. READ MORE

  5. 5. Electrical Energy consumption prediction for Schools

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Venkata Sreenadh Movva; [2022]
    Keywords : Prediction; Electricity energy consumption;

    Abstract : This thesis is a part of the master's in data science course at LTU. The core objective would be to build models that can do a short-term prediction of electricity energy consumption based on historical consumption data. READ MORE