Job changing prediction

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  my job is to follow my passion

Inspiration

Following passion is something everyone want to do. with AI in hands following passion doesn't seem to be impossible. So, in this project based on different factures predictions are made if a person will opt to change the occupation.

Project Overview

The aim of this project is to predict whether an employee will change their job based on various features such as 'Field of Study', 'Current Occupation', 'Age', 'Gender', 'Years of Experience', 'Education Level', 'Industry Growth Rate', 'Job Satisfaction', 'Work-Life Balance', 'Job Opportunities', 'Salary', 'Job Security', 'Career Change Interest', 'Skills Gap', 'Family Influence', 'Mentorship Available', 'Certifications', 'Freelancing Experience', 'Geographic Mobility', 'Professional Networks', 'Career Change Events', 'Technology Adoption'.

Steps Involved Data Collection: Gather a dataset that includes features relevant to job changes.

Data Preprocessing: Clean and preprocess the data by handling missing values, encoding categorical variables, and scaling numerical features.

Model Selection: Choose appropriate machine learning algorithms (e.g., Logistic Regression, Random Forest, Gradient Boosting).

Model Training: Train the models on the training dataset.

Model Evaluation:Evaluate the models using metrics like accuracy, precision, recall, and F1-score.

Hyperparameter Tuning: Optimize model parameters to improve performance.

How we built it

The project is built with python language in google colab.

Built With

• google-colab
• python