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.

Xehetasun bibliografikoak
Egile Nagusiak:	Hasan, Ibteaz, Chakraborty, Ratnadeep, Alam, Md. Ashraful
Beste egile batzuk:	Chakrabarty, Amitabha
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	BRAC University 2018
Gaiak:	Resume Machine learning Recruitment Regression
Sarrera elektronikoa:	http://hdl.handle.net/10361/10187

Antzeko izenburuak

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

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

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

Performance analysis of machine learning algorithms for Malware classification
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Argitaratua: (2023)

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

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

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

Machine learning for stress prediction
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Argitaratua: (2023)

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

Heart disease prediction using machine learning algorithms
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Argitaratua: (2019)

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

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

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
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Argitaratua: (2021)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
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Argitaratua: (2021)

Analysis of the impact of online education using EEG signals and machine learning algorithms
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Argitaratua: (2021)

Weather forecasting using Deep Learning
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Argitaratua: (2023)

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

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

Forecasting stock market prices using advanced tools of machine learning
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Argitaratua: (2019)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
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Argitaratua: (2021)

Polycystic ovary syndrome detection using neural network.
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Argitaratua: (2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

Machine Learning /
nork: Mitchell, Tom M. (Tom Michael), 1951-
Argitaratua: (1997)

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

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

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

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

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