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1
Introduction
2
Getting started with Google Colab
3
Load dataset
4
Split to X and y
5
Split data to train/test set
6
About DiscoverDataScience
7
Model building with Linear regression
8
Model building with Random forest
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Model comparison
10
Data visualization
11
Conclusion
Description:
Learn to build your first machine learning model in Python using the scikit-learn library in this comprehensive 31-minute video tutorial. Explore Google Colab, load datasets, split data into training and test sets, and implement linear regression and random forest models. Compare model performance, visualize results, and gain practical insights into the machine learning workflow. Follow along with provided code and resources to kickstart your journey into data science and machine learning.

Build Your First Machine Learning Model in Python

Data Professor
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