About this course
Machine Learning is a subset of Artificial Intelligence that enables systems to learn from data.
It allows computers to make predictions or decisions without being explicitly programmed.
ML uses algorithms to identify patterns and improve performance over time.
It is classified into supervised, unsupervised, and reinforcement learning.
Common ML applications include spam filters, recommendation engines, and fraud detection.
Python is a popular language for ML, with libraries like Scikit-learn, TensorFlow, and PyTorch.
Data is the foundation of machine learning – quality data leads to accurate models.
Training and testing datasets are used to build and evaluate ML models.
ML is used in industries like healthcare, finance, marketing, and transportation.
As data grows, machine learning becomes more essential for automation and insights.
