https://github.com/waghraj1699/codeclauseinternship_predicting_house_prices

data-science machine-learning-algorithms numpy pandas-dataframe

Last synced: about 2 months ago
JSON representation

Task 1 of the CodeClause Internship

Host: GitHub
URL: https://github.com/waghraj1699/codeclauseinternship_predicting_house_prices
Owner: Waghraj1699
Created: 2024-02-05T12:28:55.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2024-02-05T12:38:59.000Z (over 2 years ago)
Last Synced: 2025-03-28T00:45:51.900Z (about 1 year ago)
Topics: data-science, machine-learning-algorithms, numpy, pandas-dataframe
Language: Jupyter Notebook
Homepage:
Size: 224 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

README

# CodeClauseInternship_Predicting_House_Prices

Project Details

Aim -
Build a simple linear regression model to predict house prices based on features like
the number of bedrooms and square footage.

Description-
Use a dataset of house prices, split it into training and testing sets, and build a
regression model using Scikit-learn.

Technologies-
Python, Pandas, Scikit-learn.
You can use other technologies that you know.

What You Learn-
Introduction to regression modeling and prediction