GitHub - epomarico/Machine_Learning: Completed assignements from Coursera's Machine Learning course

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Name	Name	Last commit message	Last commit date
Latest commit History 2 Commits
ex1 - Linear regression	ex1 - Linear regression	First commit	Jul 17, 2018
ex2 - Logistic regression	ex2 - Logistic regression	First commit	Jul 17, 2018
ex3 - Multiclass classification and neural Networks	ex3 - Multiclass classification and neural Networks	First commit	Jul 17, 2018
ex4 - Neural Networks learning	ex4 - Neural Networks learning	First commit	Jul 17, 2018
ex5 - Regularized Linear Regression and Bias v.s. Variance	ex5 - Regularized Linear Regression and Bias v.s. Variance	First commit	Jul 17, 2018
ex6 - Support Vector Machines	ex6 - Support Vector Machines	First commit	Jul 17, 2018
ex7 - Unsupervised learning	ex7 - Unsupervised learning	First commit	Jul 17, 2018
ex8 - Anomaly Detection and Recommender Systems	ex8 - Anomaly Detection and Recommender Systems	First commit	Jul 17, 2018
.DS_Store	.DS_Store	First commit	Jul 17, 2018
README.txt	README.txt	First commit	Jul 17, 2018

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This folder contains completed assignements from Coursera's Machine Learning course taught by Andrew Ng.

Include:
	•	Linear Regression 
	•	Logistic Regression
	•	Multiclass classification and neural networks 
	•	Neural networks learning
	•	Regularized linear regression and Bias vs Variance
	•	Support vector machines
	•	Unsupervised learning
	•	Anomaly detection and recommender systems