Software engineers salary prediction

In this project , my objective is to predict software engineers salary based on various features like the country , years of experience and the education level .I performed all steps from choosing the data to be used till making a web app for my model using streamlit . I compared various machine learning model ; linear regression , Decision tree regressor and random forest regressor on the basis of mean squared error . At the end , random forest regressor had the best results .

Screenshots

Here is a screenshot for the models results and another one for boxplot for the the salaries based on countries .

Demo

Here is a demo for the machine learning based web app I made using streamlit library

InShot_20220320_230930900.mp4

Objective

Technique used

• Data Cleaning
• Data Encoding
• Machine learning modeling
• web application

Algorithms used

• Linear regression
• Decision trees regressor
• Random forest regressor

Model Evaluation methods used

• Mean squared error
• Mean absolute error

Guidelines

Packages and tools required:

Pandas 
Matplotlib
Seaborn
Scikit Learn
Numpy
Streamlit
pickle
pychram

Package Installation

pip install numpy
pip install pandas
pip install seaborn
pip install scikit-learn
pip install matplotlib
pip install streamlit