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Source: z2h.fyi/cheatsheets/introduction-to-machine-learning — Zero to Hero cheatsheets for developers.

Introduction to Machine Learning

Quick Overview

Machine learning is a field of research that involves the development of algorithms that allow a model to learn from data and make predictions or decisions.

Getting Started

• Install the scikit-learn package on your computer.
• Execute the command pip install scikit-learn to install the scikit-learn package.

Core Concepts

• Supervised learning: techniques of supervised learning involve the use of labeled data.
• Unsupervised learning: techniques of unsupervised learning involve the use of unlabeled data.

Essential Commands / API / Syntax

• scikit-learn.__version__: Returns the version of the scikit-learn package.
• scikit-learn.datasets.load_iris(): Loads the iris dataset.

Common Patterns

• Use regression for continuous predictions.
• Use classification for discrete predictions.

Gotchas & Tips

• Always use the correct data for the model.
• Always visualize the data before training the model.

Next Steps

• Read the book “Machine Learning with Python” by Sebastian Raschka.
• Take the course “Machine Learning with Python” by Coursera.