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Supervised Machine Learning: Regression and Classification
- W1-Python Jupyter
- W1-Model Representation
- W1-Cost Function
- W1-Gradient Descent
- W2-Python Numpy Vectorization
- W2-Multiple Variable
- W2-Feature Scaling and Learning Rate
- W2-Linear Regression (Gradient Descent, Feature Normalization) from Scikit Learn
- W2-Linear Regression Assignment
- W3-Contrast Regression and Classification
- W3-Sigmoid Function and Logistic Regression
- W3-Decision Boundary
- W3-Logistic Loss
- W3-Simplified Loss & Cost Function
- W3-Gradient Descent for Logistic Regression
- W3-Logistic Regression from Scikit Learn
- W3-Underfitting bestfitting overfitting
- W3-Regularization
- W3-Logistic Regression Assignment
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Advanced Learning Algorithms
tanveer-kader / ml-sp Goto Github PK
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