Posting My First Dev Post Notebook: Predicting house prices using LinearRegression

Excited to share my notebook which i made for experimenting with machine learning algorithms! This notebook contains code and markdown for a project using LinearRegression . It loads the dataset from load_boston dataset and enables us to predict house prices from the available actual houseprices 🧑‍💻📊

Concepts Used Include:

• Train_Test_Split🌀
• LinearRegression 🎯
• mean_squared_error ➖
• model.coef_ 🌟
• model.intercept_ 🔄
• model.predict 🌟

Why This Notebook:

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

I’ve included a line to my notebook to guide you through the it https://colab.research.google.com/drive/1-fGYNuGfMXjq172ErX7TWGoSPguU863f?usp=sharing

What’s Next:

Over the Next week, I’ll be posting more of my notebooks for other concepts in Machine Learning as recommended by this url https://www.kaggle.com/discussions/getting-started/554563 [# Machine Learning Engineer Roadmap for 2025]

Who's This For:

For anybody who loves python and who has been telling themselves I'm gonna learn Machine Learning one day. This is for them !Lets learn Machine Learning Together :)

Feel free to explore the notebook and try out your own machine learning models! 🚀

Notebook Link: https://colab.research.google.com/drive/1-fGYNuGfMXjq172ErX7TWGoSPguU863f?usp=sharing  [Project ML - Learn Linear Regression in Machine Learning through Python]
Kaggle References: https://www.kaggle.com/discussions/getting-started/554563 [Machine Learning Engineer Roadmap for 2025]