Member Information

Slide

Slide Link

Plan

Plan Link

House Price's Prediction

Description

• This project is created to answer the question "How much you have to prepare to get the dream house?". Answer this question will help people (especially young people) to have a target that motivates to earn money. To answer this question, we use Linear Regression model and MLPRegressor (both from sklearn) with MASHVISOR data (using Selenium and API).

Requirment

Must run in min_ds-env (from Data Science course - Mr. Trần Trung Kiên)

Executing Program

• Step 1: Run Get-ID.ipynb to get house IDs
• Step 2: Run Collect Data with API.ipynb to get house information
• Step 3: Run House Price's Prediction to explore and preprocess data then build prediction model.

To-do list

• [x] Create git
• [x] Choose meaningful question
• [x] Collect data
• [x] Explore data
• [x] Preprocess data
• [x] Build model
• [x] Prepare slide
• [x] Plan sheet