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
4.20 (5 reviews)
Udemy
platform
English
language
Financial Modeling & Ana
category
instructor
Forecasting Real Estate Market with Linear Regression & LSTM
3,013
students
3.5 hours
content
Sep 2023
last update
$19.99
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

Screenshots

Forecasting Real Estate Market with Linear Regression & LSTM - Screenshot_01Forecasting Real Estate Market with Linear Regression & LSTM - Screenshot_02Forecasting Real Estate Market with Linear Regression & LSTM - Screenshot_03Forecasting Real Estate Market with Linear Regression & LSTM - Screenshot_04
5538602
udemy ID
9/3/2023
course created date
9/6/2023
course indexed date
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