- Week 2 - Linear Regression (machine-learning-ex1)
- Week 3 - Logistic Regression (machine-learning-ex2)
- Week 4 - Multi-class Classification and Neural Networks (machine-learning-ex3)
- Week 5 - Neural Network Learning (machine-learning-ex4)
- Week 6 - Regularized Linear Regression and Bias/Variance (machine-learning-ex5)
- Week 7 - Support Vector Machines (machine-learning-ex6)
- Week 8 - K-means Clustering and Principal Component Analysis
- Week 9 - Anomaly Detection and Recommender Systems
saitejap / coursera-ml-1 Goto Github PK
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Andrew Ng's Machine Learning course assignments on Coursera
License: Apache License 2.0