- The aim of this project is to build a Machine Learning model which will predict Median Value of housing prices of California using the california census data. the data has a metrics such as population, median income, median housing prices and so on. The model able to predict the prices with RMSE - 47K. this Project Also Consist of Various Machine Learning Pipelines and Algorithms include Linear Regression, Support Vector Machines Regressor, Random Forest, etc
Steps:
- Data Wrangling
- Feature Engineering
- Data Visualization
- Random Forest Regressor
- Linear Regression
- Support Vector Machines
- Fine-tune your Model
Data Sources : Housing Prices Dataset
Reference Book :
hands-on machine learning with scikit-learn and tensorflow 2nd edition
My contact info : karansharma4336@gmail.com
by Karan Sharma - Feb 2021