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.



(17 reviews)
Recommended experience
What you'll learn
- Create a pipeline to remove stop-words, punctuation, and perform tokenization 
- Understand the theory and intuition behind Naive Bayes classifiers 
- Train a Naive Bayes Classifier and assess its performance 
Skills you'll practice
- Computer Science
- Data Visualization
- Machine Learning Algorithms
- Data Cleansing
- Pandas (Python Package)
- Data Manipulation
- Applied Machine Learning
- Text Mining
- Natural Language Processing
- Matplotlib
- Scikit Learn (Machine Learning Library)
- Plot (Graphics)
- Data Processing
- Predictive Modeling
- Python Programming
- Exploratory Data Analysis
- Data Analysis
- Unstructured Data
- Machine Learning
Details to know

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In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
- Task 1: Understand the Problem Statement and Business Case 
- Task 2: Import libraries and datasets 
- Task 3: Perform exploratory data analysis 
- Task 4: Perform data cleaning 
- Task 5: Visualize cleaned datasets 
- Task 6: Prepare the data by applying count vectorization 
- Task 7: Understand the intuition behind Naive Bayes Classifier - Part #1 
- Task 8: Understand the intuition behind Naive Bayes Classifier - Part #2 
- Task 9: Train a Naive Bayes classifier model 
- Task 10: Assess trained model performance 
Recommended experience
Basic python programming knowledge
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- Skill-based, hands-on learning - Practice new skills by completing job-related tasks. 
- Expert guidance - Follow along with pre-recorded videos from experts using a unique side-by-side interface. 
- No downloads or installation required - Access the tools and resources you need in a pre-configured cloud workspace. 
- Available only on desktop - This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices. 
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By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
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