Company Profit Prediction Using Linear Regression

Built a predictive model to estimate company profits based on R&D spend, administrative costs, and marketing expenditure.

Problem Statement

Took data from 1000 companies, the goal is to predict profits using multiple linear regression.

Technologies Used

• Python, Pandas, Numpy
• Matplotlib, Seaborn (EDA & Visualization)
• Scikit-learn (Linear Regression, Model Evaluation)

Key Features

• Exploratory Data Analysis (EDA)
• Model training using Linear Regression
• Evaluation using R² Score and RMSE
• Business insight generation

Dataset

• Source: Provided in 1000_Companies.csv
• Features: R&D Spend, Administration, Marketing Spend, State

Future Work

• Compare with Lasso and Ridge Regression
• Deploy with Streamlit for interactive UI

Output Samples

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Author

Hasini Dandu
CSE AIML Undergrad| Data Science & ML Enthusiast

LinkedIn:www.linkedin.com/in/hasini-dandu-341234293