https://github.com/jalajthanaki/job_recommendation_engine

This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset
https://github.com/jalajthanaki/job_recommendation_engine

content-based-recommendation job-recommendation kaggel

Last synced: 15 days ago
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This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset

• Host: GitHub
• URL: https://github.com/jalajthanaki/job_recommendation_engine
• Owner: jalajthanaki
• Created: 2018-04-09T09:00:59.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-04-11T06:12:33.000Z (over 6 years ago)
• Last Synced: 2024-12-16T12:04:12.973Z (19 days ago)
• Topics: content-based-recommendation, job-recommendation, kaggel
• Language: Jupyter Notebook
• Size: 147 KB
• Stars: 62
• Watchers: 2
• Forks: 41
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Job recommendation engine

This repository contains improvised approach for building job recommendation engine.

## Dependencies

* matplotlib

* seaborn

* pandas

* numpy

* ast 

* scipy

* scikit-learn

## Install dependencies

```

* matplotlib:    $ sudo apt-get install libfreetype6-dev libpng-dev

                 $ sudo pip install matplotlib    

* seaborn:       $ sudo pip install seaborn

* pandas:        $ sudo pip install pandas

* numpy:         $ sudo pip install numpy

* ast:           By defualt available

* scipy:         $ sudo pip install scipy

* scikit-learn:  $ sudo pip install -U scikit-learn

```

## Dataset

* You can download dataset from this [link](https://www.kaggle.com/c/job-recommendation/data)

* Make a folder `input_data`

* Put all datafiles inside this folder

## Usage

Please run the code givne in jupyter notebook `Job_recommendation_engine.ipynb`