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Machine Learning Tutorial - Introduction

What is Machine Learning?

ML enables computers to learn from data without explicit programming.

Types

  • Supervised: Labeled data (classification, regression)
  • Unsupervised: Unlabeled data (clustering)
  • Reinforcement: Learning from rewards

Example

from sklearn.ensemble import RandomForestClassifier
model = RandomForestClassifier()
model.fit(X_train, y_train)
predictions = model.predict(X_test)

Summary

  • Supervised learning uses labeled training data
  • Scikit-learn is the go-to Python ML library
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