Machine Learning Fundamentals

Machine Learning is a subset of AI that enables systems to learn and improve from experience. Python has become the go-to language for ML thanks to libraries like scikit-learn, TensorFlow, and PyTorch.

Types of Machine Learning

  • Supervised Learning - Learning from labeled data (classification, regression)
  • Unsupervised Learning - Finding patterns in unlabeled data (clustering)
  • Reinforcement Learning - Learning through rewards and penalties

Your First ML Model

from sklearn.ensemble import RandomForestClassifier
model = RandomForestClassifier(n_estimators=100)
model.fit(X_train, y_train)
predictions = model.predict(X_test)

Getting Started

Start with simple datasets like Iris or MNIST. Understand the basics of data preprocessing, feature engineering, and model evaluation before moving to deep learning.