The complete week-wise solutions for Coursera Machine Learning All Weeks Solutions assignments and quizzes taught by Andrew Ng. After completing this course you will get a broad idea of Machine learning algorithms. Try to solve all the assignments by yourself first, but if you get stuck somewhere then feel free to browse the code.

Coursera Machine Learning All Weeks Solutions assignments and quiz:-
Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. ML is one of the most exciting technologies that one would have ever come across. As it is evident from the name, it gives the computer that makes it more similar to humans: The ability to learn. Machine learning is actively being used today, perhaps in many more places than one would expect.
Coursera Machine Learning Week 1 assignments and quiz Solutions
Assignments: There is no Assignment for Week 1
Quiz:
- Machine Learning (Week 1) Quiz
▸ Introduction - Machine Learning (Week 1) Quiz
▸ Linear Regression with One Variable - Machine Learning (Week 1) Quiz
▸ Linear Algebra
Coursera Machine Learning Week 2 assignment and quiz Solution
Assignments:
- Machine Learning (Week 2) [Assignment Solution]
▸ Linear regression
Quiz: - Machine Learning (Week 2) Quiz
▸ Linear Regression with Multiple Variables - Machine Learning (Week 2) Quiz
▸ Octave / Matlab Tutorial
Coursera Machine Learning Week 3 assignment and quiz Solution
Assignments:
- Machine Learning (Week 3) [Assignment Solution]
▸ Logistic regression
Quiz: - Machine Learning (Week 3) Quiz
▸ Logistic Regression - Machine Learning (Week 3) Quiz
▸ Regularization
Coursera Machine Learning Week 4 assignment and quiz Solution
Assignments:
- Machine Learning (Week 4) [Assignment Solution]
▸ One-vs-all logistic regression and neural networks
Quiz: - Machine Learning (Week 4) Quiz
▸ Neural Networks: Representation
Coursera Machine Learning Week 5 assignment and quiz Solution
Assignments:
- Machine Learning (Week 5) [Assignment Solution]
▸ Backpropagation algorithm for neural networks
Quiz: - Machine Learning (Week 5) Quiz
▸ Neural Networks: Learning
Coursera Machine Learning Week 6 assignment and quiz Solution
Assignments:
- Machine Learning (Week 6) [Assignment Solution]
▸ Regularized linear regression to study models with different bias-variance properties.
Quiz: - Machine Learning (Week 6) Quiz
▸ Advice for Applying Machine Learning - Machine Learning (Week 6) Quiz
▸ Machine Learning System Design
Coursera Machine Learning Week 7 assignment and quiz Solution
Assignments:
- Machine Learning (Week 7) [Assignment Solution]
▸ Support vector machines (SVMs) to build a spam classifier.
Quiz: - Machine Learning (Week 7) Quiz
▸ Support Vector Machines
Coursera Machine Learning Week 8 assignment and quiz Solution
Assignments:
- Machine Learning (Week 8) [Assignment Solution]
▸ K-means clustering algorithm to compress an image.
▸ Principal component analysis to find a low-dimensional representation of face images.
Quiz: - Machine Learning (Week 8) Quiz
▸ Unsupervised Learning - Machine Learning (Week 8) Quiz
▸ Principal Component Analysis
Coursera Machine Learning Week 9 assignment and quiz Solution
Assignments:
- Machine Learning (Week 9) [Assignment Solution]
▸ Anomaly detection algorithm to detect failing servers on a network.
▸ Collaborative filtering to build a recommender system for movies.
Quiz: - Machine Learning (Week 9) Quiz
▸ Anomaly Detection - Machine Learning (Week 9) Quiz
▸ Recommender Systems
Coursera Machine Learning Week 10 assignment and quiz Solution
Assignments:
Coursera Machine Learning Week 11 assignment and quiz Solution
Assignments:
- No Assignment for Week 11
Quiz: - Machine Learning (Week 11) Quiz
▸ Application: Photo OCR Variables
Disclaimer: Hopefully, this article will be useful for you to find all the Coursera Machine Learning All Weeks Solutions assignments and quiz-Andrew NG and grab some premium knowledge with less effort.
Finally, we are now, in the end, I just want to conclude some important message for you, Feel free to ask doubts in the comment section. I will try my best to answer it. If you find this helpful by any means like, comment, and share the post. Please share our posts on social media platforms and also suggest to your friends to Join Our Groups. Don’t forget to subscribe. This is the simplest way to encourage me to keep doing such work.
FAQs
Is Andrew Ng’s Machine Learning course good?
It is the Best Course for Supervised Machine Learning! Andrew Ng Sir has been like always has such important & difficult concepts of Supervised ML with such ease and great examples, Just amazing!
How do I get answers to coursera assignment?
Use “Ctrl+F” To Find Any Questions Answered. & For Mobile Users, You Just Need To Click On Three dots In Your Browser & You Will Get A “Find” Option There. Use These Options to Get Any Random Questions Answer.
How long does it take to finish coursera Machine Learning?
this specialization requires approximately 3 months with 75 hours of materials to complete, and I finished it in 3 weeks and spent an additional 1 week reviewing the whole course.
How do you submit assignments on Coursera Machine Learning?
Submit a programming assignment Open the assignment page for the assignment you want to submit. Read the assignment instructions and download any starter files. Finish the coding tasks in your local coding environment. Check the starter files and instructions when you need to. Reference