SupervisedMachineLearning

Supervised Machine Learning provided by DeepLearning.AI & Stanford University on Coursera

Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn
Build & train supervised machine learning models for prediction & binary classification tasks, including linear regression & logistic regression

Cost function, Gradient Descent, Regularization to Avoid Overfitting, Supervised Learning, Linear Regression, Logistic Regression for Classification

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Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
C1_W1_Lab02_Model_Representation_Soln.ipynb		C1_W1_Lab02_Model_Representation_Soln.ipynb
C1_W1_Lab03_Cost_function_Soln.ipynb		C1_W1_Lab03_Cost_function_Soln.ipynb
C1_W1_Lab04_Gradient_Descent_Soln.ipynb		C1_W1_Lab04_Gradient_Descent_Soln.ipynb
C1_W2_Lab01_Python_Numpy_Vectorization_Soln.ipynb		C1_W2_Lab01_Python_Numpy_Vectorization_Soln.ipynb
C1_W2_Lab02_Multiple_Variable_Soln.ipynb		C1_W2_Lab02_Multiple_Variable_Soln.ipynb
C1_W2_Lab03_Feature_Scaling_and_Learning_Rate_Soln-.ipynb		C1_W2_Lab03_Feature_Scaling_and_Learning_Rate_Soln-.ipynb
C1_W2_Linear_Regression.ipynb		C1_W2_Linear_Regression.ipynb
C1_W3_Lab01_Classification_Soln.ipynb		C1_W3_Lab01_Classification_Soln.ipynb
C1_W3_Lab02_Sigmoid_function_Soln.ipynb		C1_W3_Lab02_Sigmoid_function_Soln.ipynb
C1_W3_Lab03_Decision_Boundary_Soln.ipynb		C1_W3_Lab03_Decision_Boundary_Soln.ipynb
C1_W3_Lab04_LogisticLoss_Soln.ipynb		C1_W3_Lab04_LogisticLoss_Soln.ipynb
C1_W3_Lab05_Cost_Function_Soln.ipynb		C1_W3_Lab05_Cost_Function_Soln.ipynb
C1_W3_Lab06_Gradient_Descent_Soln.py		C1_W3_Lab06_Gradient_Descent_Soln.py
C1_W3_Lab07_Scikit_Learn_Soln.ipynb		C1_W3_Lab07_Scikit_Learn_Soln.ipynb
C1_W3_Lab08_Overfitting_Soln.ipynb		C1_W3_Lab08_Overfitting_Soln.ipynb
C1_W3_Lab09_Regularization_Soln.ipynb		C1_W3_Lab09_Regularization_Soln.ipynb
C1_W3_Logistic_Regression.ipynb		C1_W3_Logistic_Regression.ipynb
README.md		README.md