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
Overview
Syllabus
Introduction
Getting started with Google Colab
Load dataset
Split to X and y
Split data to train/test set
About DiscoverDataScience
Model building with Linear regression
Model building with Random forest
Model comparison
Data visualization
Conclusion
Taught by
Data Professor
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