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All Projects → wang-boyu → coursera-machine-learning

wang-boyu / coursera-machine-learning

Licence: MIT License
MATLAB assignments in Coursera's Machine Learning course

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machine-learningcoursera

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coursera-machine-learning Progress

This repository contains the weekly MATLAB assignments that I did in Machine Learning course in Coursera.

Comments/issues/PRs are welcomed!

Exercise 1 in Week 2

Part Name Score Feedback
Warm-up Exercise 10 / 10 Nice work!
Computing Cost (for One Variable) 40 / 40 Nice work!
Gradient Descent (for One Variable) 50 / 50 Nice work!
Feature Normalization 0 / 0 Nice work!
Computing Cost (for Multiple Variables) 0 / 0 Nice work!
Gradient Descent (for Multiple Variables) 0 / 0 Nice work!
Normal Equations 0 / 0 Nice work!
100 / 100

Exercise 2 in Week 3

Part Name Score Feedback
Sigmoid Function 5 / 5 Nice work!
Logistic Regression Cost 30 / 30 Nice work!
Logistic Regression Gradient 30 / 30 Nice work!
Predict 5 / 5 Nice work!
Regularized Logistic Regression Cost 15 / 15 Nice work!
Regularized Logistic Regression Gradient 15 / 15 Nice work!
100 / 100

Exercise 3 in Week 4

Part Name Score Feedback
Regularized Logistic Regression 30 / 30 Nice work!
One-vs-All Classifier Training 20 / 20 Nice work!
One-vs-All Classifier Prediction 20 / 20 Nice work!
Neural Network Prediction Function 30 / 30 Nice work!
100 / 100

Exercise 4 in Week 5

Part Name Score Feedback
Feedforward and Cost Function 30 / 30 Nice work!
Regularized Cost Function 15 / 15 Nice work!
Sigmoid Gradient 5 / 5 Nice work!
Neural Network Gradient (Backpropagation) 40 / 40 Nice work!
Regularized Gradient 10 / 10 Nice work!
100 / 100

Exercise 5 in Week 6

Part Name Score Feedback
Regularized Linear Regression Cost Function 25 / 25 Nice work!
Regularized Linear Regression Gradient 25 / 25 Nice work!
Learning Curve 20 / 20 Nice work!
Polynomial Feature Mapping 10 / 10 Nice work!
Validation Curve 20 / 20 Nice work!
100 / 100

Exercise 6 in Week 7

Part Name Score Feedback
Gaussian Kernel 25 / 25 Nice work!
Parameters (C, sigma) for Dataset 3 25 / 25 Nice work!
Email Preprocessing 25 / 25 Nice work!
Email Feature Extraction 25 / 25 Nice work!
100 / 100

Exercise 7 in Week 8

Part Name Score Feedback
Find Closest Centroids (k-Means) 30 / 30 Nice work!
Compute Centroid Means (k-Means) 30 / 30 Nice work!
PCA 20 / 20 Nice work!
Project Data (PCA) 10 / 10 Nice work!
Recover Data (PCA) 10 / 10 Nice work!
100 / 100

Exercise 8 in Week 9

Part Name Score Feedback
Estimate Gaussian Parameters 15 / 15 Nice work!
Select Threshold 15 / 15 Nice work!
Collaborative Filtering Cost 20 / 20 Nice work!
Collaborative Filtering Gradient 30 / 30 Nice work!
Regularized Cost 10 / 10 Nice work!
Regularized Gradient 10 / 10 Nice work!
100 / 100
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