Documenting progress in the Machine Learning Course from Stanford - in coursera, as taught by Andrew Ng. This course can be found here!
This is an introductory course to Machine Learning structured in 11
Weeks. The course provides a comprehensive and hands-on introduction to the field of ML. It uses Matlab/Octave
as the programming tool. This course and the required tools are FREE!
Check out my progress details ๐
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Programming Assignment: Linear Regression
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Programming Assignment: Logistic Regression
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Programming Assignment: Neural Networks: Multiclass Classification
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Programming Assignment: Neural Networks: Learning
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Programming Assignment: Regularized Linear Regression and Bias/Variance
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Programming Assignment: Support Vector Machines
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Programming Assignment: K-Means Clustering and PCA
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Programming Assignment: Anomaly Detection and Recommender Systems
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