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.

Opis bibliograficzny
Główni autorzy:	Hasan, Ibteaz, Chakraborty, Ratnadeep, Alam, Md. Ashraful
Kolejni autorzy:	Chakrabarty, Amitabha
Format:	Praca dyplomowa
Język:	English
Wydane:	BRAC University 2018
Hasła przedmiotowe:	Resume Machine learning Recruitment Regression
Dostęp online:	http://hdl.handle.net/10361/10187

Podobne zapisy

Analyzing CV/resume using natural language processing and machine learning
od: Reza, Md. Tanzim, i wsp.
Wydane: (2018)

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

Flood prediction using ensemble machine learning models
od: Rahman, Tanvir
Wydane: (2024)

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

A machine learning approach to detect depression and anxiety using supervised learning
od: Ullas, Md Tahmidur Rahman, i wsp.
Wydane: (2019)

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

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

Machine learning for stress prediction
od: Salehin, Sherajus, i wsp.
Wydane: (2023)

Application of machine learning techniques on the context of livestock analysis
od: Islam, Md. Shajedul, i wsp.
Wydane: (2018)

Heart disease prediction using machine learning algorithms
od: Ali, Musfiq, i wsp.
Wydane: (2019)

Performance analysis of different machine learning approaches for single modal facial expression detection
od: Zinia, Surovi, i wsp.
Wydane: (2018)

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

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

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
od: Rahee, Arnob, i wsp.
Wydane: (2021)

Analysis of the impact of online education using EEG signals and machine learning algorithms
od: Hoque, Ehsanul, i wsp.
Wydane: (2021)

Weather forecasting using Deep Learning
od: Fahad, Sheikh Abdul, i wsp.
Wydane: (2023)

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

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

Forecasting stock market prices using advanced tools of machine learning
od: Anwar, Md. Tawhid, i wsp.
Wydane: (2019)

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

Polycystic ovary syndrome detection using neural network.
od: Istiyaq, Tahsin, i wsp.
Wydane: (2024)

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

Prediction of bipolar disorder from mental episodes using machine learning approach
od: Tasmeem, Sumaiya, i wsp.
Wydane: (2023)

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

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

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
od: Boateng, Albert, i wsp.
Wydane: (2024)

Subjectivity analysis using machine learning algorithm
od: Ahmed, Erfan, i wsp.
Wydane: (2017)

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

Identification of fake news using machine learning in distributed system
od: Saif, Mehruz, i wsp.
Wydane: (2021)

Crowd source based traffic analysis using machine learning algorithm
od: Orthy, Marzia Khan, i wsp.
Wydane: (2018)

Predicting peak performance of a cricket player using machine learning and data analytics
od: Azam, Akif, i wsp.
Wydane: (2023)

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

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 wsp.
Wydane: (2018)

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

Machine Learning /
od: Mitchell, Tom M. (Tom Michael), 1951-
Wydane: (1997)

Analyzing area-wise air pollution level using machine learning for a better future
od: Sihan, Sk. Atik Tajwar, i wsp.
Wydane: (2021)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
od: Boateng, Albert, i wsp.
Wydane: (2024)

Travel time prediction using machine learning and weather impact on traffic conditions
od: Deb, Bilash, i wsp.
Wydane: (2018)

Alumni opportunities using machine learning
od: Siaum, Arshif Sharlimin, i wsp.
Wydane: (2019)

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