This is the first course in the Machine Learning Specialization. It provides a broad introduction to modern machine learning, including supervised learning (linear regression, logistic regression, neural networks, and decision trees). You will build machine learning models in Python using popular machine learning libraries Num Py and Scikit-Learn.
Learn Python for data science and machine learning with completely free courses. Covers NumPy, Pandas, scikit-learn, and practical coding skills for AI development.
Learn deep learning for free with fast.ai, 3Blue1Brown, MIT, and Kaggle. Build neural networks, understand backpropagation, and train models without any cost.
Structured path covering Python, ML fundamentals, and deep learning basics for aspiring AI practitioners.
Build on your existing knowledge with intermediate machine learning pipelines techniques and real-world applications.
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