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09-07-2023, 04:45 AM
Post: #1
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[GET] Forecasting Real Estate Market with Linear Regression and LSTM
Forecasting Real Estate Market with Linear Regression and LSTM
Learn how to forecast real estate market trend with linear regression and LSTM (Long Short Term Memory) Model New Rating: 0.0 out of 5 (0 ratings) 591 students 3.5 hours on-demand video 3 downloadable resources Description Welcome to Forecasting Real Estate Market with Linear Regression and LSTM course. This is a comprehensive project based course where you will learn step by step on how to perform complex analysis and visualisation on real estate market data. This course will be mainly concentrating on forecasting the future housing market using two different forecasting models, those are linear regression and LSTM which stands for long short term memory. Regarding programming language, we are going to use Python alongside several libraries like Pandas for performing data modelling, Numpy for performing complex calculations, Matplotlib for visualising the data, and Scikit-learn for implementing the linear regression model and various evaluation metrics. Whereas, for the data, we are going to download the real estate market dataset from Kaggle. In the introduction session, you will learn basic fundamentals of real estate market forecasting, such as getting to know the characteristics of the real estate market, forecasting models that will be used, and major problems in the real estate market nowadays like limited housing supply and population growth. Then, continue by learning the basic mathematics behind linear regression where you will be guided step by step on how to analyze case study and perform basic linear regression calculation. This session was designed to prepare your knowledge and understanding about linear regression before implementing this concept to your code. Afterward, you will learn several different factors that can potentially impact the real estate market, such as population growth, government policies, and infrastructure development. Once you’ve learnt all necessary knowledge about the real estate market, we will start the forecasting project. Firstly, you will be guided step by step on how to set up Google Colab IDE, then, you will also learn how to find and download datasets from Kaggle. Once everything is all set, you will enter the main section of the course which is the project section. The project will consist of two main parts, the first one is forecasting the real estate market trend using linear regression while the second one is forecasting the real estate market trend using a long short term memory model. Lastly, at the end of the course, you will learn how to evaluate the accuracy and performance of your forecasting models using R-squared and directional symmetry methods. https://www.udemy.com/course/forecasting-real-estate-market-with-linear-regression-lstm/?couponCode=7F528836CCB3E4D50D47 Enjoy! |
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09-07-2023, 12:16 PM
Post: #2
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RE: [GET] Forecasting Real Estate Market with Linear Regression and LSTM
New Coupon:
https://www.udemy.com/course/forecasting-real-estate-market-with-linear-regression-lstm/?couponCode=DCE78D62DA6E216EB900 Enjoy! |
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09-09-2023, 12:10 PM
Post: #3
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RE: [GET] Forecasting Real Estate Market with Linear Regression and LSTM
Updated Coupon:
https://www.udemy.com/course/forecasting-real-estate-market-with-linear-regression-lstm/?couponCode=8B885A03216CC175B6D3 Cheers! |
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