Curriculum
Machine Learning - Fundamental of Python Machine Learning
Section 1: Introduction
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Mean, Median and Mode
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Standard Deviation
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Percentiles
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Data Distribution
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Normal Data Distribution
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Scatter Plot
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Linear Regression
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Polynomial Regression
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Multiple Regression
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Scale
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Train or Test data
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Decision Tree
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Confusion Matrix
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Hierarchical Clustering
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Logistic Regression
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Grid Search
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Categorical Data
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K-Means
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Bootstrap Aggregation
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Cross Validation
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AUC-ROC Curve
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K-nearest neighbors
Video lesson