Python Deep Learning and Data Analysis Tutorial - Real Estate housing market predictions
In this tutorial as we explore the dynamic world of real estate housing market prediction using deep learning. Perfect for both seasoned data scientists and those tackling the Google Advanced Data Analytics capstone project.
Need help with Data Analysis, Machine Learning, Deep Learning, Numerical Methods, or AI agents? I provide end-to-end support in Python, R, SQL, MATLAB, and Tableau, and build AI-powered automation workflows for students, researchers, and businesses.
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Chapters:
1:15 Dataset and Problem Definition
2:30 Importing Essential Libraries
5:45 Data Preprocessing
21:50 Exploratory Data Analysis
45:10 Feature Distribution Histogram and Correlation Heatmap
56:30 Deep Learning Model
66:30 Model Results and Evaluation Matrices
I'm Ahsan, and Together, we'll dive into real estate data from King County, USA, between May 2014 and May 2015. With the power of Python and TensorFlow, we'll analyze attributes like bedrooms, bathrooms, views, and square footage to build a precise price prediction model.
🎯 Project Highlights:
Master Google Advanced Data Analytics Capstone project guide
Predict real estate prices using deep learning
Enhance your data science skills and portfolio
🔑 Why Join: Learn to create models for real estate price prediction. Add a real-world data science project to your portfolio and boost your resume.
📈 What's Inside: Follow along as I comprehend the problem, process data, construct deep learning models, and evaluate performance. This isn't just a tutorial; it's a hands-on data science mastery workshop.
🔑 Learn to create models for real estate price prediction. Add a real-world data science project to your portfolio and boost your resume.
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