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.

🚀 Complete ML Project: Salary Prediction using Linear Regression & Streamlit. 95.6% accuracy, interactive web interface, clean dataset, pre-trained model. Perfect for learning ML, web development, and practical HR applications.

Application Web de prédiction de salaire en utilisant Streamlit

Demo

Salary App

AI Powered Flask App Predict your placement salary (LPA) from CGPA using a Flask + scikit-learn app with data-driven trends, clean UI, and model transparency.

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.

Salary prediction using simple linear regression

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

Data Scientist Salary Prediction using Machine learning

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.

EDA and Salary prediction of Data Science Employees using ML models

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

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

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.

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.

Machine learning regression project for predicting employee salaries using Linear Regression.

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.

My first interactive web app with Streamlit for salary prediction!