Читать книгу Advanced Analytics and Deep Learning Models - Группа авторов - Страница 36

There are classified websites where properties are inconsistent in terms of pricing of an apartment, and there are some cases where similar apartments are priced at different price point, and thus, there are a lot of intransparencies. Sometimes, the consumers feels that the pricing is not justified for a particular listed apartment, but there no way to confirm that either. We propose to use three machine learning algorithms: linear regression, LASSO regression, and decision tree algorithm. The tools required for the project are as follows: Python, Sklearn for model building, Jupyter notebook, visual studio code and Pycharm as IDE, Python flask for http server, HTML/CSS/Javascript for UI, Numpy and Pandas for data cleaning, and Matplotlib for data visualization.