courseraАнализ данных

Naive Bayes 101: Resume Selection with Machine Learning

Курс от Coursera

Средний≈ 1.9 чАнглийский

О курсе

In this project, we will build a Naïve Bayes Classifier to predict whether a given resume text is flagged or not. Our training data consist of 125 resumes with 33 flagged resumes and 92 non flagged resumes. This project could be practically used to screen resumes in companies.

Навыки, которые вы освоите

Python Programming Data Preprocessing Model Evaluation Computer Science Model Training Unstructured Data Scikit Learn (Machine Learning Library)Predictive Modeling Text Mining Natural Language Processing Classification Algorithms Data Cleansing Exploratory Data Analysis Plot (Graphics)Applied Machine Learning Statistical Machine Learning Machine Learning Data Visualization Machine Learning Algorithms

Программа курса

1 модулей · 4 учебных материалов

01Resume Selector Using Naive Bayes Classifiers4 материалов

Resume Selector Using Naive Bayes Classifier

Project-based Course OverviewЧтение Naive Bayes Classifiers for Resume ClassificationЛабораторная Graded Quiz: Test your Project UnderstandingЗадание

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Dr. Ryan Ahmed

Professor & AI Expert (1M+ Students)