Posting my first Dev Post: Project : Using Linear Regression in Machine Learning to predict house prices

My first development log: Predicting house prices using linear regression

I’m excited to share my machine learning lab notebook! This notebook contains code and markdown for a project using linear regression. It loads data from the load_boston dataset and allows us to predict house prices based on existing actual house prices ?‍??

Concepts used include:

• Train test split?
• Linear regression?
• Mean Square Error ➖
• model.coef_ ?
• model.intercept_ ?
• model.predict ?

Why choose this notebook:

The main goal of this notebook is to visually understand how to use the concept of linear regression in a machine learning algorithm to calculate/predict house prices with the training data we have.

I have added a line to my notebook to guide you: https://www.php.cn/link/71b10b95017ebdaa1984b0ded4c2a173

Next plan:

Next week, I will publish more notebooks on other concepts of machine learning based on suggestions from: https://www.php.cn/link/4bea9e07f447fd088811cc81697a4d4e [# Machine Learning in 2025 Engineer Roadmap]

Target readers:

For anyone who loves Python and has been telling themselves “one day I will learn machine learning”. This is for you! Let’s learn machine learning together :)

Feel free to explore this notebook and try out your own machine learning models! ?

Notebook link: https://www.php.cn/link/71b10b95017ebdaa1984b0ded4c2a173 [Project ML - Learning linear regression in machine learning through Python] Kaggle reference: https://www.php.cn/link/4bea9e07f447fd088811cc81697a4d4e [2025 Machine Learning Engineer Roadmap]

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