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A Python implementation of multiple linear regression to predict the profit of startups based on their spending in R&D, Administration, Marketing, and the state they operate in.
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 …
This project implements Support Vector Regression (SVR) to predict the salary of an employee based on their position level. The script uses a dataset that contains position levels and corresponding…
This project implements **Decision Tree Regression** to predict the salary of an employee based on their position level. By using a dataset containing position levels and their corresponding salari…
A Python implementation of Logistic Regression to classify social network ads based on age and estimated salary, featuring data visualization and performance metrics such as confusion matrix and ac…
A PySpark-powered project for analyzing advertising campaign data. This project transforms raw CSV data into actionable insights, summarizing user engagement across demographics, income levels, and…
Python
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