Application Web de prédiction de salaire en utilisant Streamlit
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Updated
Aug 4, 2021 - Python
Application Web de prédiction de salaire en utilisant Streamlit
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.
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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.
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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!
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.
In this section, we will perform salary prediction on the Hitters dataset using machine learning algorithms.
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