Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

License: MIT License

Jupyter Notebook 97.51% Python 2.49%

andrew-ng andrew-ng-machine-learning coursera coursera-assignment coursera-specialization deep-learning linear-regression logistic-regression machine-learning python

machine-learning-specialization-coursera's Introduction

Machine Learning Specialization Coursera

Contains Solutions and Notes for the Machine Learning Specialization by Andrew NG on Coursera

Note : If you would like to have a deeper understanding of the concepts by understanding all the math required, have a look at Mathematics for Machine Learning and Data Science

Course 1 : Supervised Machine Learning: Regression and Classification

Week 1

Week 2

Week 3

Course 2 : Advanced Learning Algorithms

Week 3

Week 4

Course 3 : Unsupervised Learning, Recommenders, Reinforcement Learning

Week 1

Week 2

Week 3

Course Review :

This Course is a best place towards becoming a Machine Learning Engineer. Even if you're an expert, many algorithms are covered in depth such as decision trees which may help in further improvement of skills.

Special thanks to Professor Andrew Ng for structuring and tailoring this Course.

An insight of what you might be able to accomplish at the end of this specialization :

Write an unsupervised learning algorithm to Land the Lunar Lander Using Deep Q-Learning
- The Rover was trained to land correctly on the surface, correctly between the flags as indicators after many unsuccessful attempts in learning how to do it.
- The final landing after training the agent using appropriate parameters :

lunar_lander.mp4

Write an algorithm for a Movie Recommender System
- A movie database is collected based on its genre.
- A content based filtering and collaborative filtering algorithm is trained and the movie recommender system is implemented.
- It gives movie recommendentations based on the movie genre.

And Much More !!

Concluding, this is a course which I would recommend everyone to take. Not just because you learn many new stuffs, but also the assignments are real life examples which are exciting to complete.

Happy Learning :))

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machine-learning-specialization-coursera's Issues

Shorten the file names and avoid using windows incompatible symbols in file names

Many file names have the ':' inside which is not allowed in Windows and hence the repository is not getting cloned.
Also many file names are really big which is why Windows is throwing an error while saving them, which is causing unecessary problems. Please shorten the file names and remove the semicolon from the file names.

ModuleNotFoundError: No module named 'lab_utils_common'

Describe the Error
A clear and concise description of what the bug is.

To Reproduce
Steps to reproduce the behavior:

Go to '...'
Click on '....'
Scroll down to '....'
See error

Expected behavior
A clear and concise description of what you expected to happen.

Screenshots
If applicable, add screenshots to help explain your problem.

Desktop (please complete the following information):

OS: [e.g. iOS]
Browser [e.g. chrome, safari]
Version [e.g. 22]

Smartphone (please complete the following information):

Device: [e.g. iPhone6]
OS: [e.g. iOS8.1]
Browser [e.g. stock browser, safari]
Version [e.g. 22]

Additional context
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week 3 logistic regression

in supervised learning week3 logistic regresssion lab assignment is not correct when i copied all exercise code and submit assignment it is showing error

Unsupervised Learning, Week 2 Practice Lab 2: Programming Assignment: Deep Learning for Content-Based Filtering

Hello,
Thank you so much for providing such content. Again, it seems that the programming assignment of Deep Learning for Content-Based Filtering has been changed and I want your help with that lab and to share with me the .ipynb file.
It would be much more appreciated if you could help me further with that.

C2W2 Practice Quiz Multiclass Classification: Wrong answer for Q2

Describe the Error
wrong answer marked for question 2 in C2W2 Practice Quiz Multiclass Classification

To Reproduce
Steps to reproduce the behavior:

Go to 'https://www.coursera.org/learn/advanced-learning-algorithms/exam/d9Buy/practice-quiz-multiclass-classification/attempt'
Click on the option 'z_3/(z_1+z_2+z_3+z_4) '
Scroll down to 'Submit' button
See error

Expected behavior
All the answers should have been correct but answer to question 2 is wrong

Screenshots
Incorrect answer:

Correct answer:

Desktop (please complete the following information):

OS: Windows 11
Browser: Edge
Version: 114.0.1823.58 (Official build) (64-bit)

To include file ipywidgets.py in c1/week 1/optional labs

If you visit C1/week1/optional labs, there is a line in the file lab_utils_uni.py in row 10

from ipywidgets import interact

Would you please add that file if possible, so that we can know what exactly is being imported.

OverflowError: Python int too large to convert to C long

In week1/Optional Labs folder the file is called C1_W1_Lab05_Gradient_Descent_Soln.ipynb in the last cell when I run that

plt_divergence(p_hist[0:10], J_hist[0:10],x_train[:2], y_train[:2])
plt.show()

it gives me this error

OverflowError: Python int too large to convert to C long

I don't know what's the problem exactly. Is from lab_utils_uni.py or from data. but I tried to use a small array but it doesn't work also

Several of the labs and quizzes are no longer available. A 404 error pops up when attempting to open.

Missing correct answer in C3W1 Quiz 1 Question 2

Describe the Error
In Course 3 - Week 1 - Quiz: Clustering - Question #2, there are 3 correct answers that should be checked, not 2.

Practice quizzes without solutions

Please upload the practice quizzes without the correct answers, too. That would help quite a bit.

ML Specialization labs

Missing Practice Quiz from Week 3: Classification with logistic regression

Describe the Error
There is a missing Practice Quiz in C1 - Supervised Machine Learning - Regression and Classification/week3 folder called "Practice quiz: Classification with logistic regression"

https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/931b5ff0a80abc1317c6438581e3594faea89326/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3

Attaching Answers

Missing optional lab in Unsupervised Learning Course week 3

Error Description
State-action value function does not contain the optional lab jupyter notebook.

Reproduction
Steps to reproduce the behavior:

According to the coursera website it does contain the optional lab.
No optional-lab folder is in the C3_UnsupervisedLearning/week3 path.

Expected behavior
C3_UnsupervisedLearning/week3 should have the optional lab about the state-action value function example.

Notes- Do you have the notes for all the weeks too? Would be appreciated

Describe the Error
A clear and concise description of what the bug is.

To Reproduce
Steps to reproduce the behavior:

Go to '...'
Click on '....'
Scroll down to '....'
See error

Expected behavior
A clear and concise description of what you expected to happen.

Screenshots
If applicable, add screenshots to help explain your problem.

Desktop (please complete the following information):

OS: [e.g. iOS]
Browser [e.g. chrome, safari]
Version [e.g. 22]

Smartphone (please complete the following information):

Device: [e.g. iPhone6]
OS: [e.g. iOS8.1]
Browser [e.g. stock browser, safari]
Version [e.g. 22]

Additional context
Add any other context about the problem here.

Please add optional labs for all weeks

Describe the Error
A clear and concise description of what the bug is.

To Reproduce
Steps to reproduce the behavior:

Go to '...'
Click on '....'
Scroll down to '....'
See error

Expected behavior
A clear and concise description of what you expected to happen.

Screenshots
If applicable, add screenshots to help explain your problem.

Desktop (please complete the following information):

OS: [e.g. iOS]
Browser [e.g. chrome, safari]
Version [e.g. 22]

Smartphone (please complete the following information):

Device: [e.g. iPhone6]
OS: [e.g. iOS8.1]
Browser [e.g. stock browser, safari]
Version [e.g. 22]

Additional context
Add any other context about the problem here.

Notation Tables are messed up, c1w2.

in the optional labs 02 and 03 of week2 of course1, there is a notation table, the markdown looked messed up ( took the screen shots in the jupyter lab using brave browser ):

lab02 :

lab03 :

i used the github WEB UI editor, as a refrence and fixed the table.

Let me now if i can submit a pull req.
thanks.

C2W2, practice quiz: advice for applying machine learning

Sorry, it was a mistake. Don't know how to get back. Thank you for your job indeed.

In C2W2 Optional Labs, there aren't any labs for the "Back Propagation" section in Andrew NG's course

Describe the Error
In "C2W2 Optional labs" folder, there aren't any labs for the "Back Propagation" section in Andrew NG's Coursera course

To Reproduce
Steps to reproduce the behavior:

Go to https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/optional-labs
Scroll down to the list of ipynb files
There aren't any labs for "Back Propagation"

Expected behavior
I expected two more optional labs, one about "Derivatives" and another about "Back propagation"

Screenshots
This is what was shown Andrew NG's Machine Learning Specialization course on Coursera

Desktop (please complete the following information):

OS: Windows 10
Browser: Chrome
Version: 112.0.5615.138 (Official Build) (64-bit)

Additional context
I'm just wondering if you forgot to add these "Derivatives" and "Back Propagation" optional labs. If this was intended, I apologize.

ML course C1-W2 1st Programming Assignment

Hey there…@greyhatguy007 In ML C1 W2 1St Programming assignment I keep getting below errors. Can you help me out!
Please note that I am not too familiar with Jupyter notebook.
Here’s Images of

greyhatguy007 / machine-learning-specialization-coursera Goto Github PK

machine-learning-specialization-coursera's Introduction

Machine Learning Specialization Coursera

Course 1 : Supervised Machine Learning: Regression and Classification

Course 2 : Advanced Learning Algorithms

Course 3 : Unsupervised Learning, Recommenders, Reinforcement Learning

Course Review :

An insight of what you might be able to accomplish at the end of this specialization :

machine-learning-specialization-coursera's People

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machine-learning-specialization-coursera's Issues

lab02 :

lab03 :

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