Forecasting Real Estate Market with Linear Regression & LSTM
Learn how to forecast real estate market trend with linear regression and LSTM (Long Short Term Memory) Model
4.08 (6 reviews)
3 015
students
3.5 hours
content
Sep 2023
last update
$13.99
regular price
What you will learn
Learn basic fundamentals of real estate market forecasting, such as getting to know market characteristics and major problems faced by real estate market
Learn how to perform linear regression calculations and gain an understanding of regression coefficients, intercepts, dependent and independent variables
Learn how to forecast real estate market trend using linear regression model
Learn how to forecast real estate market trend using LSTM (Long Short Term Memory) model
Learn how to evaluate the accuracy and performance of the forecasting models using R-squared analysis and directional symmetry analysis
Learn several factors that can potentially impact real estate market, such as population growth, job market, and infrastructure development
Learn how to analsze property price trend by calculating its annual mean and median
Learn how to find correlation between property price and property type
Learn how to analyse real estate market trend and find investment opportunities using sales ratio calculation
Learn how to clean datasets by removing rows with missing values and duplicates
Learn how to detect potential outliers in the dataset
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5538602
udemy ID
03/09/2023
course created date
06/09/2023
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