Beginner Machine Learning Project: 🏠 Predict House Prices using Sci-kit Learn in Jupyter Lab

#machinelearning #portfolio #beginnerproject #regressionmodel

Learn how to predict house prices using Python in this beginner-friendly machine learning project tutorial. This video guides you step-by-step through building a regression model in Jupyter Lab. You’ll start by loading the Melbourne housing dataset, preprocess the data to handle missing values and outliers, train a regression model, and evaluate its performance.

I cover essential concepts like data preprocessing, linear regression model and model evaluation. This project is ideal for those searching for beginner Python machine learning projects with source code. By the end, you’ll have a solid foundation in creating a regression model in Python and preparing datasets for accurate predictions.

This video is for students and anyone wanting to get into building machine learning projects for their portfolio.

Time stamps:
Intro 00:00
Load the dataset 00:57
Data preprocessing 01:48
Model training 06:37
Model evaluation 07:37

Links:
Melbourne housing dataset: https://www.kaggle.com/datasets/dansb...

How to preprocess data for Machine Learning in Python: https://dev.to/ifeoluwafavour/data-pr...

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