housing-library-5494 0.1

Sample code for coding practice

README.md

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 execute the script

python nonstandardcode.py

To activate conda environment

conda activate mle-dev

To create environment from yml file

conda env create --name mle-dev --file=env.yml

Command to install isort in conda environment

conda install isort

Command to install black in conda environment

conda install black

Command to install flake8 in conda environment

conda install flake8

Command to refactor python code with isort

isort nonstandardcode.py

Command to refactor python code with black

black nonstandardcode.py

Command to refactor python code with flake8

flake8 nonstandardcode.py