Application Web de prédiction de salaire en utilisant Streamlit

Demo

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.

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.

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.

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

Data Scientist Salary Prediction using Machine learning

My first interactive web app with Streamlit for salary prediction!

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.

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.

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.

This project develops a machine learning model to predict the salaries of baseball players based on their past performance.

WebApp for salary prediction (https://salarypredictionwebapp.herokuapp.com/)

Data Science Project