Start up business solution using machine learning

Start up business solution using machine learning

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Xehetasun bibliografikoak
Egile Nagusiak:	Sohan, Saad Ahmed, Nakib, Ayman, Ahmed, Tanvir
Beste egile batzuk:	Alam, Md. Ashraful
Hizkuntza:	English
Argitaratua:	BRAC University 2018
Gaiak:	Data science Artificial intelligence Machine learning Business solution
Sarrera elektronikoa:	http://hdl.handle.net/10361/10102

Antzeko izenburuak

Alumni opportunities using machine learning
nork: Siaum, Arshif Sharlimin, et al.
Argitaratua: (2019)

Bank loan prediction using machine learning
nork: Mahottam, Parthosarothi, et al.
Argitaratua: (2023)

Machine learning approach for improving decision support in ICU
nork: Siddiquee, Mohib Billah, et al.
Argitaratua: (2019)

Performance comparison of transformer-based models for multi-reasoning in machine reading comprehension
nork: Sayma, Sadika, et al.
Argitaratua: (2024)

Predicting climate induced floods using machine learning
nork: Saleh, Chowdhury Nafis, et al.
Argitaratua: (2022)

Real time performance analysis on DDoS attack detection using machine learning
nork: Suvra, Debashis Kar, et al.
Argitaratua: (2021)

Impact of machine learning and deep learning on biomedical applications and healthcare industry
nork: Kabir, Md Saif, et al.
Argitaratua: (2024)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
nork: Rafat, Md. Tasbi, et al.
Argitaratua: (2023)

Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
nork: Abir, Tawhidur Rahman, et al.
Argitaratua: (2019)

A machine learning approach to credit default prediction and Individual credit scoring
nork: Rahman, Md. Jaber, et al.
Argitaratua: (2018)

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
nork: Rahman, Masroor, et al.
Argitaratua: (2023)

Detecting propagandistic poster title: a machine learning approach
nork: Mahmood, Riaz, et al.
Argitaratua: (2024)

Implementing A.I based solutions to understand & predict consumer sentiment
nork: Bin Ahmed, Omar
Argitaratua: (2023)

Application of machine learning in credit risk assessment: a prelude to smart banking
nork: Dhruba, Mir Ishrak Maheer, et al.
Argitaratua: (2019)

A deep learning approach for prediction of ADHD using brain structure
nork: Siam, Shafin Ahad, et al.
Argitaratua: (2024)

Rumor detection in Bangla using machine learning & deep learning
nork: Ahmed, Md Istiaq, et al.
Argitaratua: (2023)

Heart attack prediction using machine learning and XAI
nork: Ahsan, Mumtahina
Argitaratua: (2023)

Forecasting Dhaka stock exchange prices using machine learning models: a Performance analysis
nork: Alam, Md. Iftekharul, et al.
Argitaratua: (2024)

Comparison of machine learning techniques to predict cardiovascular disease
nork: Jaber, Mir Mohammad, et al.
Argitaratua: (2019)

Machine learning approach for ECG analysis and predicting different heart diseases
nork: Tithi, Sushmita Roy, et al.
Argitaratua: (2019)

Classifying insect pests from image data using deep learning
nork: Mohsin, Md. Raiyan Bin, et al.
Argitaratua: (2022)

Crop prediction based on geographical and climatic data using machine learning and deep learning
nork: Alif, Al Amin, et al.
Argitaratua: (2019)

Predicting peak performance of a cricket player using machine learning and data analytics
nork: Azam, Akif, et al.
Argitaratua: (2023)

Predicting obesity: a comparative analysis of machine learning models incorporating different features
nork: Rahman, Md.Sakibur, et al.
Argitaratua: (2023)

Use of predictive analytics in Business
nork: Raihana, Fabiha
Argitaratua: (2023)

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

Machine learning-based approach on predicting online shopping addiction using EEG signals
nork: Nawer, Nafisa, et al.
Argitaratua: (2023)

Flood prediction using ensemble machine learning models
nork: Rahman, Tanvir
Argitaratua: (2024)

A machine learning approach to detect depression and anxiety using supervised learning
nork: Ullas, Md Tahmidur Rahman, et al.
Argitaratua: (2019)

Yoga posture recognition using the deep learning process
nork: Islam, Abidul, et al.
Argitaratua: (2023)

A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users
nork: Nahar, Fatiha Binte Kamrun, et al.
Argitaratua: (2023)

Intelligent parking system using machine learning
nork: Abrar, Md. Ishtiak, et al.
Argitaratua: (2023)

Machine learning with PySpark : With natural language processing and recommender systems /
nork: Singh, Pramod
Argitaratua: (2022)

NLP-based AI robot for intelligent interaction
nork: Dastagir, Golam, et al.
Argitaratua: (2024)

Detection of fake identities on twitter using supervised machine learning
nork: Rahman, MD. Takiur, et al.
Argitaratua: (2019)

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

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
nork: Ferdous, Md.Rubaiat, et al.
Argitaratua: (2024)

Machine learning with quantum computers /
nork: Schuld, Maria
Argitaratua: (2021)

Predicting depression in Bangladeshi undergraduates using machine learning
nork: Choudhury, Ahnaf Atef, et al.
Argitaratua: (2019)

Making AI intelligible :
nork: Cappelen, Herman