Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry

Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografiska uppgifter
Huvudupphovsmän:	Hossain, Shoumik, Fahmiduzzaman, Quazi, Payel, Nehrin Siddique, Hossain, Mohammad Shahriar, Hossain, Nabil
Övriga upphovsmän:	Mostakim, Moin
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2022
Ämnen:	Customer segmentation Long Short-Term Memory (LSTM) Networks Deep learning Multi-layer perceptron K-nearest Neighbor (KNN) algorithm Machine learning Computer algorithms.
Länkar:	http://hdl.handle.net/10361/15986

Liknande verk

An approach to detect epileptic seizure using XAI and machine learning
av: Bijoy, Emam Hasan, et al.
Publicerad: (2022)

Enhancing crops production based on environmental status using machine learning techniques
av: Talukder, Shiyam, et al.
Publicerad: (2021)

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
av: Biswas, Sunanda, et al.
Publicerad: (2022)

A feature selection approach to determine obesity using machine learning method
av: Antor, Shahidul Alam, et al.
Publicerad: (2021)

Performance analysis of machine learning algorithms for Malware classification
av: Bushra, Raisa Hasan, et al.
Publicerad: (2023)

Prediction of earthquakes: a step towards predicting the unpredictable
av: Chowdhury, Maheen, et al.
Publicerad: (2023)

Flood prediction using machine learning models
av: Syeed, Miah Mohammad Asif, et al.
Publicerad: (2022)

Polycystic ovary syndrome detection using neural network.
av: Istiyaq, Tahsin, et al.
Publicerad: (2024)

Sentiment analysis to determine employee job satisfaction using machine learning techniques
av: Mouli, Nazifa, et al.
Publicerad: (2023)

Supervising vehicle using pattern recognition
av: Lushan, Mihodi Hasan, et al.
Publicerad: (2018)

Genetic algorithms in search, optimization, and machine learning /
av: Goldberg, David E. (David Edward), 1953-
Publicerad: (1989)

Machine Learning /
av: Mitchell, Tom M. (Tom Michael), 1951-
Publicerad: (1997)

Brain tumor detection through image processing
av: Azmim, Tahaziba, et al.
Publicerad: (2021)

Federated ensemble-learning for transport mode detection in vehicular edge network
av: Alam, MD. Mustakin, et al.
Publicerad: (2023)

Smart biomedical device to predict lung diseases, COVID-19 and diabetes by using machine learning algorithms
av: Hossain, Ashraful, et al.
Publicerad: (2024)

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

Human recognition using wireless router signal
av: Chowdhury, S. M. A. Muksit, et al.
Publicerad: (2019)

Effectiveness of data mining in predicting heart diseases
av: Afrin, Shahria, et al.
Publicerad: (2018)

Multi-layer security analysis and implementation of smartphone based ATM
av: Farid, Imran, et al.
Publicerad: (2017)

EMG controlled bionic robotic arm using artificial intelligence and machine learning
av: Rupom, Farhan Fuad, et al.
Publicerad: (2021)

Implementation of neural network in game engine to create smart bot and behavior analysis
av: Shovon, Zamshed Khan, et al.
Publicerad: (2018)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
av: Farabe, Abdullah Al, et al.
Publicerad: (2021)

Accuracy of data analysis on university student's major subject and job sector prediction using KNN and decision tree algorithm
av: Ahmed, Istear, et al.
Publicerad: (2023)

Foundations of machine learning /
av: Mohri, Mehryar, et al.
Publicerad: (2018)

Prediction of coronary heart diseases using supervised machine learning algorithms
av: Salam, Nazia Binte, et al.
Publicerad: (2023)

Rating detection by reviews using ML and NLP towards mobile phone recommendation
av: Sarker, Md Wafi, et al.
Publicerad: (2023)

Comparative analysis between machine learning algorithms in efficiency of Coronary Heart Disease (CHD) prediction
av: Oishi, Fayza Rezwana, et al.
Publicerad: (2020)

PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
av: Rahman, Tahsinur, et al.
Publicerad: (2023)

Predicting criminal activities analyzing video signal using machine learning
av: Sadman, Syed Md., et al.
Publicerad: (2021)

Investigating music algorithm in neural information processing: robust feature extraction for emotional state classification from multichannel EEG signals
av: Hossain, Md. Sakib Abrar
Publicerad: (2021)

Crowd source based traffic analysis using machine learning algorithm
av: Orthy, Marzia Khan, et al.
Publicerad: (2018)

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
av: Hossain, Mohammad Sakib, et al.
Publicerad: (2023)

Analysis of quantum algorithms
av: Farastu, Paresha, et al.
Publicerad: (2018)

Design and analysis of algorithms /
av: Dave, Parag H
Publicerad: (2008)

Education content provider based on particular weaknesses of students: a unsupervised machine learning appro
av: Rahman, Shabab Intishar, et al.
Publicerad: (2024)

A machine learning approach on classifying orthopedic patients based on their biomechanical features
av: Hasan, Kamrul, et al.
Publicerad: (2018)

Subjectivity analysis using machine learning algorithm
av: Ahmed, Erfan, et al.
Publicerad: (2017)

Skin disease detection and classification using deep learning
av: Shuvon, Mehedi Hasan, et al.
Publicerad: (2022)

Market sales prospecting by analyzing customer buying pattern using machine learning
av: Ahmed, Tanjil, et al.
Publicerad: (2019)

An active-learning based training-schedule for biomedical image segmentation on deep neural networks
av: Hassan, Mehadi, et al.
Publicerad: (2021)