GitHub - Ninad077/Machine_Learning-Gradient_descent_with_Logistic_Regression: Content: Classification, Sigmoid function, Decision Boundary, Cost function, Gradient descent, Overfitting, Regularisation

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.ipynb_checkpoints		.ipynb_checkpoints
__pycache__		__pycache__
archive		archive
data		data
images		images
pre_414		pre_414
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.ipynb		C1_W3_Lab06_Gradient_Descent_Soln.ipynb
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
deeplearning.mplstyle		deeplearning.mplstyle
lab_utils_common.py		lab_utils_common.py
plt_logistic_loss.py		plt_logistic_loss.py
plt_one_addpt_onclick.py		plt_one_addpt_onclick.py
plt_overfit.py		plt_overfit.py
plt_quad_logistic.py		plt_quad_logistic.py
public_tests.py		public_tests.py
test_utils.py		test_utils.py
utils.py		utils.py

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Content: Classification, Sigmoid function, Decision Boundary, Cost function, Gradient descent, Overfitting, Regularisation

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