Performance analysis of machine learning algorithms in resume recommendation systems

Performance analysis of machine learning algorithms in resume recommendation systems

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

Bibliografiske detaljer
Main Authors:	Hasan, Ibteaz, Chakraborty, Ratnadeep, Alam, Md. Ashraful
Andre forfattere:	Chakrabarty, Amitabha
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2018
Fag:	Resume Machine learning Recruitment Regression
Online adgang:	http://hdl.handle.net/10361/10187

Lignende værker

Analyzing CV/resume using natural language processing and machine learning
af: Reza, Md. Tanzim, et al.
Udgivet: (2018)

A document vectorization approach to Resume Ranking System(RRS)
af: Nabi, Norun
Udgivet: (2023)

Flood prediction using ensemble machine learning models
af: Rahman, Tanvir
Udgivet: (2024)

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

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

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

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

Machine learning for stress prediction
af: Salehin, Sherajus, et al.
Udgivet: (2023)

Application of machine learning techniques on the context of livestock analysis
af: Islam, Md. Shajedul, et al.
Udgivet: (2018)

Heart disease prediction using machine learning algorithms
af: Ali, Musfiq, et al.
Udgivet: (2019)

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

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

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

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

Analysis of the impact of online education using EEG signals and machine learning algorithms
af: Hoque, Ehsanul, et al.
Udgivet: (2021)

Weather forecasting using Deep Learning
af: Fahad, Sheikh Abdul, et al.
Udgivet: (2023)

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

Implementing a recommender system for Bangladeshi faculty search using machine learning
af: Hasan, Md.Khalid
Udgivet: (2020)

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

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

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

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

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

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

Text classification using machine learning algorithms
af: Hasnat, Fahim, et al.
Udgivet: (2018)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
af: Boateng, Albert, et al.
Udgivet: (2024)

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

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

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

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

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

Estimating flood susceptibility of Bangladesh in the future year using machine learning
af: Alim, Sakib Bin, et al.
Udgivet: (2021)

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

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

Machine Learning /
af: Mitchell, Tom M. (Tom Michael), 1951-
Udgivet: (1997)

Analyzing area-wise air pollution level using machine learning for a better future
af: Sihan, Sk. Atik Tajwar, et al.
Udgivet: (2021)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
af: Boateng, Albert, et al.
Udgivet: (2024)

Travel time prediction using machine learning and weather impact on traffic conditions
af: Deb, Bilash, et al.
Udgivet: (2018)

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

Machine learning based stream selection of secondary school students in Bangladesh
af: Ahmad, Shabbir
Udgivet: (2024)