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This project predicts Median Values of Houses of California with RMSE - 47K by using various Regression Algorithms namely SVM, Random Forest, Linear Regression, etc

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Housing Prices Prediction

  • 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

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This project predicts Median Values of Houses of California with RMSE - 47K by using various Regression Algorithms namely SVM, Random Forest, Linear Regression, etc

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