The project takes input a candidate's data for placement such as aggregate percentage, pending backlogs, 1st round score, communication skills & predicts whether he/she will be hired or not using machine learning classifiers such as Logistic regression, decision trees, random forests and support vector machines..
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The project takes input a candidate's data for placement such as aggregate percentage, pending backlogs,1st round score, communication skills predicts whether he/she will be hired or not using machine learning algorithms such as Logistic Regression, Decision Trees, Random forests and Support Vector Machines.
Sahejeets7/HIRE-PREDICTOR
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The project takes input a candidate's data for placement such as aggregate percentage, pending backlogs,1st round score, communication skills predicts whether he/she will be hired or not using machine learning algorithms such as Logistic Regression, Decision Trees, Random forests and Support Vector Machines.
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