README.md

metadata

tags:
  - job-recommendation
  - sklearn
license: mit
model_type: Custom Recommendation Model
model_description: >-
  This is a recommendation model for job applicants based on their skills and
  majors.
library_name: sklearn
limitations: This model is not ready to be used in production.

Job Recommendation Model

This repository contains a job recommendation model based on skills and majors.

Run model

Change csv file path and run "RECOMMENDATION MODEL" part in Job_Recommendation_System.ipynb notebook

Test recommeded system

In TEST RECOMMENDED SYSTEM part of Job_Recommendation_System.ipynb notebook, change input_hard_skills, input_soft_skills, input_major and run code to receive result

Add the get started code

Get started code

import pickle
import pandas as pd

with open('recommendation_model.pkl', 'rb') as file:
     tfidf_vectorizer_skills, tfidf_vectorizer_majors, companies_skills_vec, companies_majors_vec = pickle.load(file)

input_hard_skills = "Python, Java, Finance, Excel"
input_soft_skills = "Communication, Teamwork"
input_major = ""
jobs_data = pd.read_csv("jobs_data.csv")

recommended_jobs = recommend_jobs_for_input_skills(input_hard_skills, input_soft_skills, input_major, jobs_data, 'recommendation_model.pkl')
print("Recommended Jobs based on input skills and major:")
print(recommended_jobs)