Software Engineer Salary Prediction

Overview

Software-Engineer-Salary-Prediction

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.

Installation

On your IDE terminal (I used Visual studio code):

 pip install streamlit  
 pip install scikit-learn  
 pip install matplotlib  
 pip install numpy  
 pip install pandas  
 pip install wheel  
 pip install pyspark  

2021 survey data from stack overflow:

click on Download Full Data Set(CSV)

Run command

streamlit run app.py

Screenshots of the web app

Prediction page pred

Select Country select_country

Mean Salary Graph mean_salary_graph

Mean Salary Bar graph mean_salary_bar_graph

You might also like...
A logistic regression model for health insurance purchasing prediction

Logistic_Regression_Model A logistic regression model for health insurance purchasing prediction This code is using these packages, so please make sur

Predico Disease Prediction system based on symptoms provided by patient- using Python-Django & Machine Learning

Predico Disease Prediction system based on symptoms provided by patient- using Python-Django & Machine Learning

This repo includes some graph-based CTR prediction models and other representative baselines.

Graph-based CTR prediction This is a repository designed for graph-based CTR prediction methods, it includes our graph-based CTR prediction methods: F

Mortality risk prediction for COVID-19 patients using XGBoost models

Mortality risk prediction for COVID-19 patients using XGBoost models Using demographic and lab test data received from the HM Hospitales in Spain, I b

AP1 Transcription Factor Binding Site Prediction

A machine learning project that predicted binding sites of AP1 transcription factor, using ChIP-Seq data and local DNA shape information.

Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification

Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification Introduction. This package includes the pyth

Erpnext app for make employee salary on payroll entry based on one or more project with percentage for all project equal 100 %
Erpnext app for make employee salary on payroll entry based on one or more project with percentage for all project equal 100 %

Project Payroll this app for make payroll for employee based on projects like project on 30 % and project 2 70 % as account dimension it makes genral

A repo containing toolings and software useful for a DevOps Engineer

DevOps-Tooling A repo containing toolings and software useful for a DevOps Engineer (or if you're setting up your Mac from the beginning) Currently se

The Social-Engineer Toolkit (SET) repository from TrustedSec - All new versions of SET will be deployed here.

💼 The Social-Engineer Toolkit (SET) 💼 Copyright 2020 The Social-Engineer Toolkit (SET) Written by: David Kennedy (ReL1K) @HackingDave Company: Trust

Persine is an automated tool to study and reverse-engineer algorithmic recommendation systems.

Persine, the Persona Engine Persine is an automated tool to study and reverse-engineer algorithmic recommendation systems. It has a simple interface a

Roadmap to becoming a machine learning engineer in 2020
Roadmap to becoming a machine learning engineer in 2020

Roadmap to becoming a machine learning engineer in 2020, inspired by web-developer-roadmap.

A knockoff social-engineer toolkit
A knockoff social-engineer toolkit

The Python SE Dopp Kit is a social engineering toolkit with many purposes. It contains 5 different modules designed to be of assistance in different s

Reverse engineer your pytorch vision models, in style
Reverse engineer your pytorch vision models, in style

🔍 Rover Reverse engineer your CNNs, in style Rover will help you break down your CNN and visualize the features from within the model. No need to wri

Desafio proposto pela IGTI em seu bootcamp de Cloud Data Engineer
Desafio proposto pela IGTI em seu bootcamp de Cloud Data Engineer

Desafio Modulo 4 - Cloud Data Engineer Bootcamp - IGTI Objetivos Criar infraestrutura como código Utuilizando um cluster Kubernetes na Azure Ingestão

Network Engineer's Unified Realtime Automation Library

NEURAL is the premiere CLI jockey replacement full stack web/app/database network automation application, providing a "no-code" web app for network engineers developed by a network engineer!

The Social-Engineer Toolkit (SET) is specifically designed to perform advanced attacks against the human element.

The Social-Engineer Toolkit (SET) The Social-Engineer Toolkit (SET) is specifically designed to perform advanced attacks against the human element. SE

Software to automate the management and configuration of any infrastructure or application at scale. Get access to the Salt software package repository here:
Software to automate the management and configuration of any infrastructure or application at scale. Get access to the Salt software package repository here:

Latest Salt Documentation Open an issue (bug report, feature request, etc.) Salt is the world’s fastest, most intelligent and scalable automation engi

Source-o-grapher is a tool built with the aim to investigate software resilience aspects of Open Source Software (OSS) projects.

Source-o-grapher is a tool built with the aim to investigate software resilience aspects of Open Source Software (OSS) projects.

EasyBuild is a software build and installation framework that allows you to manage (scientific) software on High Performance Computing (HPC) systems in an efficient way.

EasyBuild is a software build and installation framework that allows you to manage (scientific) software on High Performance Computing (HPC) systems in an efficient way.

Owner
Jhanvi Mimani
I am an undergraduate student interested in Technology. Front-End Developer | Machine Learning & Data Science | Open Source
Jhanvi Mimani
A Software Framework for Neuromorphic Computing

A Software Framework for Neuromorphic Computing

Lava 338 Dec 26, 2022
LibTraffic is a unified, flexible and comprehensive traffic prediction library based on PyTorch

LibTraffic is a unified, flexible and comprehensive traffic prediction library, which provides researchers with a credibly experimental tool and a convenient development framework. Our library is implemented based on PyTorch, and includes all the necessary steps or components related to traffic prediction into a systematic pipeline.

null 432 Jan 5, 2023
pure-predict: Machine learning prediction in pure Python

pure-predict speeds up and slims down machine learning prediction applications. It is a foundational tool for serverless inference or small batch prediction with popular machine learning frameworks like scikit-learn and fasttext. It implements the predict methods of these frameworks in pure Python.

Ibotta 84 Dec 29, 2022
customer churn prediction prevention in telecom industry using machine learning and survival analysis

Telco Customer Churn Prediction - Plotly Dash Application Description This dash application allows you to predict telco customer churn using machine l

Benaissa Mohamed Fayçal 3 Nov 20, 2021
Diabetes Prediction with Logistic Regression

Diabetes Prediction with Logistic Regression Exploratory Data Analysis Data Preprocessing Model & Prediction Model Evaluation Model Validation: Holdou

AZİZE SULTAN PALALI 2 Oct 23, 2021
Cryptocurrency price prediction and exceptions in python

Cryptocurrency price prediction and exceptions in python This is a coursework on foundations of computing module Through this coursework i worked on m

Panagiotis Sotirellos 1 Nov 7, 2021
PySpark ML Bank Churn Prediction

PySpark-Bank-Churn Surname: corresponds to the record (row) number and has no effect on the output. CreditScore: contains random values and has no eff

kemalgunay 2 Nov 11, 2021
Stock Price Prediction Bank Jago Using Facebook Prophet Machine Learning & Python

Stock Price Prediction Bank Jago Using Facebook Prophet Machine Learning & Python Overview Bank Jago has attracted investors' attention since the end

Najibulloh Asror 3 Feb 10, 2022
Automated Machine Learning Pipeline for tabular data. Designed for predictive maintenance applications, failure identification, failure prediction, condition monitoring, etc.

Automated Machine Learning Pipeline for tabular data. Designed for predictive maintenance applications, failure identification, failure prediction, condition monitoring, etc.

Amplo 10 May 15, 2022
A linear regression model for house price prediction

Linear_Regression_Model A linear regression model for house price prediction. This code is using these packages, so please make sure your have install

ShawnWang 1 Nov 29, 2021