Kokshetau_Housing_Analysis

This project is dedicated to analyzing data on apartment prices in the city of Kokshetau. It includes the following steps:

1. Web scrapping ('scrap_krisha.ipynb'):

   • Extracted all links and street names from ads using Selenium and BeautifulSoup.
   • Scraped all necessary property details from the extracted links.
   • Saved the collected data into structured files.
   • Easily adaptable for other cities—just replace the URL.

2. Evaluating distance ('evalutaing_distance.ipynb'):

   • Manually inputted the latitude and longitude of schools, kindergartens, and pharmacies.
   • Calculated the distance to the nearest school, kindergarten, pharmacy, and city center using the Haversine formula.
   • Saved the processed data into structured files.

3. Data cleaning and visulaizations ('data_cleaning_and_visualizations.ipynb'):

   • Analyze the dataset.
   • Fill the Nan values, replace by mean and etc.
   • Analyze the abnormal values.
   • Drop uneccessary column, rows.
   • Visualize the dataset to understand.

4. Models ('model.ipynb'):

   • Drop uneccessary columns by checking correlation matrix.
   • Data proccessing from categorical to numerical.
   • Creating new features to understand the data better.
   • Create the models.