Parking data analysis

Parking data analysis

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliografski detalji
Glavni autori:	Ahamed, Kasfi, Haque, Fardin, Rasheed, Ahnaf Ar, Rahman, Md. Arban
Daljnji autori:	Shakil, Arif
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2023
Teme:	Prediction model KNN Decision tree Forecast model Random forest Naive Bayes Classifier Support Vector Machine Bangladesh parking location Raw data set Machine learning
Online pristup:	http://hdl.handle.net/10361/19289

Similar Items

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
od: Alam, Auninda, i dr.
Izdano: (2021)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
od: Sarkar, Ripa, i dr.
Izdano: (2024)

A machine learning approach to predict young voter enthusiasm based on non-political factors
od: Rahman, Md. Nowroz Junaed, i dr.
Izdano: (2021)

A feature selection approach to determine obesity using machine learning method
od: Antor, Shahidul Alam, i dr.
Izdano: (2021)

Finding suitable locations for live campaigns using different machine learning techniques
od: Qudar, Mohiuddin Md. Abdul, i dr.
Izdano: (2018)

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
od: Al Amin, Istiak, i dr.
Izdano: (2022)

Fighting depression: psychological approaches among Bangladeshi university students
od: Sen, Sanjib Kumar, i dr.
Izdano: (2022)

A hybrid rumor detection model derived from a comparative study of supervised approaches
od: Aothoi, Mehzabin Sadat, i dr.
Izdano: (2023)

Flood prediction using machine learning models
od: Syeed, Miah Mohammad Asif, i dr.
Izdano: (2022)

Assistive Guideline of Categorization for Competitive Programming Problems
od: Dhrubo, Najmus Sakib, i dr.
Izdano: (2021)

Credit card fraud detection using machine learning techniques
od: Kabir, Tasmia, i dr.
Izdano: (2021)

Estimating flood susceptibility of Bangladesh in the future year using machine learning
od: Alim, Sakib Bin, i dr.
Izdano: (2021)

The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
od: Mahmud, Mahmudul Hasan
Izdano: (2021)

Detecting online recruitment fraud by using machine learning
od: Ghosh, Gitanjali, i dr.
Izdano: (2021)

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
od: Saad-Ul-Kabir, Syed, i dr.
Izdano: (2021)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
od: Tasnim, Anika, i dr.
Izdano: (2022)

A counseling system to predict the study path for freshmen
od: Usha, Rowshni Tasneem, i dr.
Izdano: (2019)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
od: Turjo, Aquib Abtahi, i dr.
Izdano: (2021)

An approach to detect epileptic seizure using XAI and machine learning
od: Bijoy, Emam Hasan, i dr.
Izdano: (2022)

An effective machine learning approach for sentiment analysis of restaurant reviews
od: Karim, Rabita
Izdano: (2018)

Machine learning-based approach on predicting online shopping addiction using EEG signals
od: Nawer, Nafisa, i dr.
Izdano: (2023)

Heart disease prediction system
od: Amit, Tayab Al Azad, i dr.
Izdano: (2022)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
od: Shihab, Ibne Farabi, i dr.
Izdano: (2018)

Best feature selection and data visualization for breast cancer prediction
od: Hemel, Tanjim Ahmed, i dr.
Izdano: (2020)

Cardiovascular disease prediction model using Machine Learning Algorithm
od: Arefin Mirdha, MD Shamsul
Izdano: (2023)

Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
od: Bhattacharjee, Ruposri, i dr.
Izdano: (2024)

Performance analysis of machine learning algorithms for Malware classification
od: Bushra, Raisa Hasan, i dr.
Izdano: (2023)

Performance analysis of machine learning classi ers for detecting PE malware
od: Azmee, ABM.Adnan, i dr.
Izdano: (2020)

Stock market prediction using ensemble learning
od: Rabbani, Rakin Bin, i dr.
Izdano: (2021)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
od: Farabe, Abdullah Al, i dr.
Izdano: (2021)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
od: Mahmud, Booshra Nazifa, i dr.
Izdano: (2019)

Heart disease prediction using techniques of classification in machine learning
od: Afrose, Sadia, i dr.
Izdano: (2021)

Prediction of earthquakes: a step towards predicting the unpredictable
od: Chowdhury, Maheen, i dr.
Izdano: (2023)

Amazon product reviews sentiment analysis using supervised learning algorithms
od: Hawladar, Mohibullah, i dr.
Izdano: (2021)

Automatic classified myocardial infarction detection using machine learning and forewarning system with location of the patient using GSM module
od: Shrestha, Soptorsi Paul, i dr.
Izdano: (2021)

Analysis on the effects of wallstreetbets on the stock market
od: Hossain, Abir, i dr.
Izdano: (2022)

An introduction to support vector machines : and other kernel-based learning methods /
od: Cristianini, Nello
Izdano: (2000)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
od: Ahmed, Md. Sabbir, i dr.
Izdano: (2021)

Text classification using machine learning algorithms
od: Hasnat, Fahim, i dr.
Izdano: (2018)

Rating detection by reviews using ML and NLP towards mobile phone recommendation
od: Sarker, Md Wafi, i dr.
Izdano: (2023)