House Price Prediction using Advanced Regression
Background: A US-based housing company named Surprise Housing has decided to enter the Australian market. The company uses data analytics to purchase houses at a price below their actual values and flip them on at a higher price. For the same purpose, the company has collected a data set from the sale of houses in Australia. The data is provided in the CSV file below.
Analytical Goal:
- A regression model using regularization in order to perdict the actual value of the prospective properties and decide whether to invest in them or not.
- which variables are significant in predicting the prices of a house
- How well those variables describe the price of a house
- library - python: 3.7.13
- library - numpy: 1.21.6
- library - pandas: 1.3.5
- library - matplotlib: 3.2.2
- library - seaborn: 0.11.2
- library - plotly: 5.5.0