House Prices Pridiction

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in this project, I have data about house price. Apply data visualisation technique to understand data. then perform 4 different regression machine learning techniques- 1.LinearRegression 2.Ridge 3. Ridge CV 4. GradientBoostingRegressor* and calulate accuracy score. "**GradientBoostingRegressor gives highest accuracy i.e approx 90%**" ...learn more

Project status: Published/In Market

Artificial Intelligence

Groups
Student Developers for AI

Code Samples [1]

Overview / Usage

in this project, I have data about house price.
Apply data visualisation technique to understand data.
then perform 4 different regression machine learning techniques-
1.LinearRegression
2.Ridge
3. Ridge CV
4. GradientBoostingRegressor*
and calulate accuracy score.
"GradientBoostingRegressor gives highest accuracy i.e approx 90%"

Methodology / Approach

  1. Data visualisation
  2. Regression

Technologies Used

perform 4 different regression machine learning techniques-
1.LinearRegression
2.Ridge
3. Ridge CV
4. GradientBoostingRegressor

Repository

https://github.com/mohammedsaket/house_price_pridiction

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