Machine Learning Using Python

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What you’ll learn

• Understand the fundamental concepts of machine learning and its applications across various domains.
• Learn the process of data preprocessing, including handling missing data, feature scaling, and encoding categorical variables.
• Master a variety of supervised learning algorithms such as linear regression, logistic regression, decision trees, support vector machines, and k-nearest neighb
• Explore unsupervised learning techniques including clustering, dimensionality reduction, and association rule learning.
• Develop the ability to critically analyze and interpret machine learning results and make data-driven decisions.
• Build a solid foundation for further studies or career advancement in the field of machine learning and artificial intelligence.

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