A voice signal based gender prediction model using random forest classifier

A voice signal based gender prediction model using random forest classifier

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

Bibliographic Details
Main Authors:	Ahmed, Saif, Hossain, Sajjad, Chowdhury, Gazala, Mehnaz, Maliha
Other Authors:	Uddin, Jia
Format:	Thesis
Language:	English
Published:	BRAC University 2018
Subjects:	Logistic regression Random forest Principal component analysis Classification and Regression Tree (CART)
Online Access:	http://hdl.handle.net/10361/10097

Similar Items

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

Prediction of bipolar disorder from mental episodes using machine learning approach
by: Tasmeem, Sumaiya, et al.
Published: (2023)

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

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
by: Rahee, Arnob, et al.
Published: (2021)

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

Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
by: Imam, Saif
Published: (2021)

Detecting online recruitment fraud by using machine learning
by: Ghosh, Gitanjali, et al.
Published: (2021)

Heart disease prediction system
by: Amit, Tayab Al Azad, et al.
Published: (2022)

Early grade prediction using profile data
by: Iqbal, Sumaiya, et al.
Published: (2021)

Amazon product reviews sentiment analysis using supervised learning algorithms
by: Hawladar, Mohibullah, et al.
Published: (2021)

Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations
by: Rabbi, Md. Nafis
Published: (2024)

Predicting stock market trend from twitter feed and building a framework for Bangladesh
by: Karim, Shabab, et al.
Published: (2018)

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

Stock market prediction using ensemble learning
by: Rabbani, Rakin Bin, et al.
Published: (2021)

Performance analysis of different machine learning approaches for single modal facial expression detection
by: Zinia, Surovi, et al.
Published: (2018)

Identification of fake news using machine learning in distributed system
by: Saif, Mehruz, et al.
Published: (2021)

Analyzing the security of e-Health data based on a hybrid federated learning model
by: Shafin, Md. Mehtabul Islam, et al.
Published: (2023)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
by: Alam, Auninda, et al.
Published: (2021)

Flood prediction using ensemble machine learning models
by: Rahman, Tanvir
Published: (2024)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
by: Shihab, Ibne Farabi, et al.
Published: (2018)

A thesis on utilizing machine learning models to predict material hardship
by: Das, Tirtha
Published: (2024)

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

Forecasting stock market prices using advanced tools of machine learning
by: Anwar, Md. Tawhid, et al.
Published: (2019)

Early detection of breast cancer using machine learning
by: Fuad, Wasi Mohammad
Published: (2019)

Nonparametric bootstrapping for multiple logistic regression model using R
by: Hossain, Ahmed, et al.
Published: (2010)

Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
by: Bhattacharjee, Ruposri, et al.
Published: (2024)

Best feature selection and data visualization for breast cancer prediction
by: Hemel, Tanjim Ahmed, et al.
Published: (2020)

Predicting stock market movement using sentiment analysis of twitter feed
by: Chakraborty, Pranjal, et al.
Published: (2017)

Heart disease prediction using techniques of classification in machine learning
by: Afrose, Sadia, et al.
Published: (2021)

A novel approach to reduce air pollution through machine learning based PM2.5 prediction
by: Alif, Omar Farhad, et al.
Published: (2023)

A counseling system to predict the study path for freshmen
by: Usha, Rowshni Tasneem, et al.
Published: (2019)

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

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
by: Turjo, Aquib Abtahi, et al.
Published: (2021)

Machine learning for stress prediction
by: Salehin, Sherajus, et al.
Published: (2023)

Automated fabric color prediction
by: Muhtashima, Fawzia, et al.
Published: (2024)

Prediction of diabetes induced complications using different machine learning algorithms
by: Rahman, Tahsinur, et al.
Published: (2018)

Applied regression : an introduction /
by: Lewis-Beck, Michael S.
Published: (1980)

Logistic regression : a self-learning text /
by: Kleinbaum, David G.
Published: (2002)

Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
by: Saquib, Muhammad Sadman, et al.
Published: (2019)

An advanced hospital rating system using machine learning and natural language processing
by: Tamjid, Ali Asgar, et al.
Published: (2023)