salary-prediction

Application Web de prédiction de salaire en utilisant Streamlit

Demo

Placement prediction using machine learning is a technique that analyzes data from past student placements to forecast future job prospects. It uses factors like grades, skills, and experience to estimate the likelihood of a student getting hired. This helps students and institutions better prepare for the job market.

This repository contains a Python-based program designed to calculate employee salaries. It includes functionalities for inputting employee details, calculating gross and net salaries, and handling deductions or bonuses. Ideal for beginners learning Python or developers working on payroll-related applications.

Salary prediction using simple linear regression

Analysing DS and STEM salaries using data from levels.fyi (Universiti Malaya - Masters of Data Science)

Prediction of salary based on the years of experience using Simple Linear Regression

EDA and Salary prediction of Data Science Employees using ML models

Based on 2021 stack overflow data, this machine learning web application helps one predict the salary based on years of experience, level of education and the country they work in.

SalaryPredictionLinearReg is a Python-based project utilizing linear regression to predict salaries from years of experience. It covers data loading, model training, detailed statistical analysis, and visualization of results.

It's an Application which predicts the salary of a software engineers based on the data from stackoverflow . It is trained to predict it from the data using Machine Learning. It's App is designed using python with simple and basic gui.

Data Scientist Salary Prediction using Machine learning

A project based on FIFA players dataset from www.kaggale.com

This repository contains a machine learning project that predicts a professional's salary based on their years of experience using Polynomial Regression with Ridge Regularization. The project follows a full ML workflow from data preprocessing to model deployment.

Predicts salaries based on years of experience, test scores, and interview scores using an AI model

In this Machine Learning problem our task is to predict the average salary of a Data Science related job based on the data from Glassdoor.com and study the main factors of the highest paid jobs.

Welcome to the Linear Regression Repository! This repository is dedicated to providing a comprehensive collection of resources and code examples for two types of linear regression: Simple Linear Regression and Multiple Linear Regression.

My first interactive web app with Streamlit for salary prediction!

This project demonstrates the use of both Linear and Polynomial Regression models to predict salaries based on the position level of employees. By using a dataset that contains position levels and their corresponding salaries, this project showcases the differences between linear and polynomial models in fitting data and making predictions.