My projects from the NPS Data Science Certificate program

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.

The Forecast Brazilian Salary API is a powerful tool that allows users to predict salaries based on various factors and parameters.

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.

Thsi si a try at an Machine Learning project that aims at giving salary predictions depending on location exp and edlevel.

GUI for predicting salary based on years of experience using linear regression. Includes live demo on Replit.

Prediction Of Salary based on Experience using ML model

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

This project analyses global salary data from the AI/ML industry, encompassing various job roles, company sizes, and geographic locations. Lasso regression achieved lowest RMSE.

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

Predicting employee salaries based on job type, degree, major, industry, years of experience, and distance from a metropolis using machine learning techniques.

The analysis revealed that the job title is the most significant factor influencing salaries. This insight is incredibly valuable for both job seekers and employers in the data field, aiding in career planning and recruitment strategies.

Data science project about data engineer salaries, requirements, and companies for data science with an emphasis on data engineering.

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.

Internship-Mentorness

CRISP-DM analysis for understanding the participation of women in tech (Stack Overflow Survey 2020)

This program uses Logistic regression to predict whether the person will get High salary or Low Salary

Welcome to the SalaryPredictorML repository by Raj Vidja. This project uses advanced machine learning to redefine salary determination for new hires at TechWorks Consulting. Consideration of factors like education, experience, role, previous compensation, and academic records ensures fair and competitive salary predictions.

A machine learning project with a streamlit GUI that predicts salaries of developers based on their education, years of coding experience, number of languages known etc. Multiple supervised learning models were trained and the best performing one is utilised for predictions.