Learn to build your first machine learning model in Python using the scikit-learn library. The course covers loading datasets, splitting data, building models with linear regression and random forest, comparing models, and visualizing data. The teaching method involves practical demonstrations in Google Colab. This course is intended for beginners interested in machine learning and data science.
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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