├── .gitignore
├── Job_recommendation_engine.ipynb
└── README.md


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/README.md:
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 1 | # Job recommendation engine
 2 | 
 3 | This repository contains improvised approach for building job recommendation engine.
 4 | 
 5 | 
 6 | ## Dependencies
 7 | * matplotlib
 8 | * seaborn
 9 | * pandas
10 | * numpy
11 | * ast 
12 | * scipy
13 | * scikit-learn
14 | 
15 | ## Install dependencies
16 | ```
17 | * matplotlib:    $ sudo apt-get install libfreetype6-dev libpng-dev
18 |                  $ sudo pip install matplotlib    
19 | * seaborn:       $ sudo pip install seaborn
20 | * pandas:        $ sudo pip install pandas
21 | * numpy:         $ sudo pip install numpy
22 | * ast:           By defualt available
23 | * scipy:         $ sudo pip install scipy
24 | * scikit-learn:  $ sudo pip install -U scikit-learn
25 | 
26 | ```
27 | 
28 | 
29 | ## Dataset
30 | 
31 | * You can download dataset from this [link](https://www.kaggle.com/c/job-recommendation/data)
32 | * Make a folder `input_data`
33 | * Put all datafiles inside this folder
34 | 
35 | ## Usage
36 | 
37 | Please run the code givne in jupyter notebook `Job_recommendation_engine.ipynb` 
38 | 


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