tanken / Technical-Assessment

Technical Assessment for AIAP Apprenticeship

run bash shell script 'run.sh' which finds & installs packages listed in requirements.txt

Libraries: ipython jupyter jupyter-client==5.2.3 matplotlib numpy pandas scikit-learn

dir tree

kenson_tan ├── mlp │ ├── program.py ├── eda.ipynb ├── run.sh ├── requirements.txt ├── README.md

Overview Explanation

The iPython Notebook contains the Exploratory Data Analysis done on the 'New Taipei City Real Estate Valuation' dataset.

The 'program.py' file containts 3 regression models: - 1: Linear Regression model - 2: Lasso Regression model - 3: Ridge Regression model

Execute the 'run.sh' script on bash to install the dependencies and run 'program.py' file.