Crawl data from the web, preprocess the data and apply it with machine learning models

Step 1:

• Crawler: Use Selenium framework to collect data from the web

  Collect data on information about parameters of old cars that are suitable for the problem

Step 2: Preprocessing data

• Preprocessing includes: data cleaning, empty value handling, exception value handling

Step 3: Explore data

• Explore data: Statistics describe data, visualize data

Step 4: Modeling

• Standardize the data to match the selected models (Linear regression, Random forest regression), training models, evaluation and testing

Step 5: Deploy with web

• Use Flask framework to build a simple website for used car price prediction model

By: Do Duy Thanh, ICTU