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A small example package

Project description

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mle-training

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mle-training

Median housing value prediction

The housing data can be downloaded from https://raw.githubusercontent.com/ageron/handson-ml/master/. The script has codes to download the data. We have modelled the median house value on given housing data.

The following techniques have been used:

  • Linear regression
  • Decision Tree
  • Random Forest

Steps performed

  • We prepare and clean the data. We check and impute for missing values.
  • Features are generated and the variables are checked for correlation.
  • Multiple sampling techinuqies are evaluated. The data set is split into train and test.
  • All the above said modelling techniques are tried and evaluated. The final metric used to evaluate is mean squared error.

To excute the script

python < scriptname.py >

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