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Predict House Price Based on Locality - Machine Learning MATLAB 

Akhilesh Kumar
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Machine learning model to predict flat price in Delhi
Predictors and targets
- Area of flat (in square feet)
- BHK (1,2,3,4)
- Bathroom (1,2,3,4)
- Furnishing (Furnished, semi furnished, unfurnished)
- Locality
- Parking (1 or 0)
- Status (Ready to move or almost ready)
- Transaction (New property or resale)
- Type (Builder floor or appartment)
- Price (1000000 to 240000000 lakh) Target
Link to download data:- www.kaggle.com/jatin31/house-...
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Опубликовано:

 

9 июл 2021

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Комментарии : 5   
@AwLazim
@AwLazim 2 года назад
seriously it needs more view, a very detailed and easily explanatory
@Elenakhilesh
@Elenakhilesh 3 года назад
Wow! This is very interesting. Thanks for posting! :)
@sunkaratejkumar7155
@sunkaratejkumar7155 Год назад
getting Error ( Error _()_ Index in position 1 is invalid. Array indices must be positive integers or logical values.) at Split in training and testing
@AkhileshKumarr
@AkhileshKumarr Год назад
According to the error, you are doing something wrong while indexing.
@jfk8274
@jfk8274 Год назад
could you add flatratedelhi.mlx file here ?