Beginner Course
Machine Learning Foundations
Machine Learning Foundations gives you a clear, practical understanding of the concepts behind modern AI. Instead of jumping straight into code or math, this course builds intuition first—so you truly understand how algorithms learn, generalize, and make decisions. All you need for this course is some basic high school math (optional but helpful) and a curiosity about how intelligent systems work.
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Course Syllabus
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01
Basics
Types of Machine Learning
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Linear Regression
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Linear Regression and Maximum Likelihood
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Gradient Descent
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K-Nearest Neighbors
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Naive Bayes Classifier
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Spam Classifier Using Naive Bayes
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Logistic Regression
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Multiclass Classification
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K-Means Clustering
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Principal Component Analysis
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