Machine Learning methods
Machine learning is a branch of Artificial Intelligence, developing AI models. The algorithms are used by computers learning from data without being explicitly programmed for every task. The machine learning makes the systems to think and understand like humans by learning from the data. Machine Learning is mainly divided into three core types: Supervised, Unsupervised and Reinforcement Learning. Supervised Learning : Trains models on labeled data to predict or classify new, unseen data. Unsupervised Learning : Finds patterns or groups in unlabeled data, like clustering or dimensionality reduction. Reinforcement Learning : Learns through trial and error to maximize rewards, ideal for decision-making tasks. Before going to the Machine Learning, i n order to make predictions proper, the certain steps are used to produce a machine learning model that can make perfect predictions. Machine learning...