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Begin your GATE DA crash course with a solid introduction to Machine Learning, tailored for Data Science and Artificial Intelligence aspirants! This video covers the fundamentals of Machine Learning, including supervised learning techniques such as regression and classification, key algorithms like support vector machines, decision trees, and neural networks, as well as an overview of unsupervised learning methods like clustering and dimensionality reduction. Understand essential ML concepts, their practical applications, and how they fit into the GATE DA syllabus, setting a strong foundation for approaching complex problems in the exam. machine learning gate da, gate da linear regression, gate data science machine learning, linear regression explained, ml for gate da, gradient descent for gate, cost function mse, multiple linear regression gate, simple linear regression gate, machine learning beginner tutorial, gate data science preparation, gate da 2026, gate data science syllabus machine learning, ml algorithms for gate, linear model regression tutorial, machine learning regression intuition #MachineLearning #GATEDA #DataScience #ArtificialIntelligence #GATE2026 #SupervisedLearning #UnsupervisedLearning #Regression #Classification #Clustering #NeuralNetworks #MLEssentials #MachineLearningByParthSir #GATEForMachineLearning #MachineLearningForGATE #gatewitharmaan #gateaspirant #GATEEnglish