Downloads: 175 | Views: 597 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper | Computer Science & Engineering | India | Volume 9 Issue 11, November 2020 | Popularity: 6.3 / 10
Artificial Intelligence for Hiring
Ishan Borker, Ashok Veda
Abstract: Artificial Intelligence (AI) for hiring is a very important category under HR to reduce time-consuming activities like manually screening of resumes. AI in HR provides a simple way not only to reach out to possible candidates, but also screen, rank, and shortlist their resumes based on the traits most relevant to your company. This paper gives us the idea of predicting the number of students placed using machine learning algorithms. We have used various machine learning algorithms like XGBoost Classifier, Random Forest Classifier, Gradient Boosting Classifier, Decision Tree Classifier, Logistic Regression, Support Vector Machine, K-Nearest Neighbour, Multi-Layer Perceptron (MLP) Classifier, and Extra Trees Classifier. The algorithms were used based on the number of features and for predicting students placed or not. We also compare the accuracy of different algorithms.
Keywords: XGBoost Classifier, Random Forest Classifier, Gradient Boosting Classifier, Decision Tree Classifier, Logistic Regression, Support Vector Machine, K-Nearest Neighbour, Multi-Layer Perceptron, MLP, Classifier, Extra Trees Classifier, Machine Learning, Artificial Intelligence, Accuracy
Edition: Volume 9 Issue 11, November 2020
Pages: 457 - 461
Make Sure to Disable the Pop-Up Blocker of Web Browser
Click below to Watch Video Lecture of Above Article
Similar Articles
Downloads: 126 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 6, June 2015
Pages: 3048 - 3051Applications of Data Mining in Weather Forecasting Using Frequent Pattern Growth Algorithm
Amruta A. Taksande, P. S. Mohod
Downloads: 134 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Comparative Studies, Computer Science & Engineering, India, Volume 5 Issue 3, March 2016
Pages: 1302 - 1307Analysis of Credit Card Fraud Detection Techniques
Sunil Bhatia, Rashmi Bajaj, Santosh Hazari
Downloads: 139
Survey Paper, Computer Science & Engineering, India, Volume 5 Issue 4, April 2016
Pages: 187 - 193A Survey and Comparison of Artificial Intelligence Techniques for Image Classification and Their Applications
Vishal.T.V, Srinidhi.S, Srividhya.S, Sri Vishnu Kumar.K, Swathika R
Downloads: 150 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper, Computer Science & Engineering, India, Volume 9 Issue 7, July 2020
Pages: 1472 - 1476Performance Analysis of Diabetes Prediction by using different Machine Learning Algorithms
Aakash Singh
Downloads: 165
Research Paper, Computer Science & Engineering, India, Volume 6 Issue 10, October 2017
Pages: 234 - 238Triple-Technique Diagnosis Using Machine Learned Classifiers
Siddhant Gada, Het Sheth, Meet Chheda, Ashwini Swain, Kriti Srivastava