https://github.com/ahsan-83/machine-learning-stanford-online
Machine Learning Specialization course offered by Stanford Online on Coursera
https://github.com/ahsan-83/machine-learning-stanford-online
anomaly-detection classification clustering cost-function gradient-descent large-scale-machine-learning linear-algebra linear-regression logistic-regression machine-learning-algorithms neural-networks pca-analysis photo-ocr recommender-systems regularization supervised-learning support-vector-machines unsupervised-learning
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Machine Learning Specialization course offered by Stanford Online on Coursera
- Host: GitHub
- URL: https://github.com/ahsan-83/machine-learning-stanford-online
- Owner: ahsan-83
- Created: 2023-02-13T17:30:51.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2025-06-27T21:27:19.000Z (5 months ago)
- Last Synced: 2025-06-27T22:18:44.347Z (5 months ago)
- Topics: anomaly-detection, classification, clustering, cost-function, gradient-descent, large-scale-machine-learning, linear-algebra, linear-regression, logistic-regression, machine-learning-algorithms, neural-networks, pca-analysis, photo-ocr, recommender-systems, regularization, supervised-learning, support-vector-machines, unsupervised-learning
- Homepage: https://www.coursera.org/specializations/machine-learning-introduction
- Size: 65.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Machine Learning Stanford Online
[Machine Learning Stanford](https://www.coursera.org/learn/machine-learning) course is a broad introduction to machine learning, datamining, and statistical pattern recognition. The course also includes numerous case studies and applications for building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio and database mining. Course is offered by [DeepLearning.AI](https://www.deeplearning.ai/) on Coursera.
Instructor: [Andrew Ng](http://www.andrewng.org/)
### Coursework
- Supervised learning
- Linear Regression
- Gradient Descent
- Cost Function
### Lectures
- [Week 1-Introduction to Machine Learning](https://github.com/ahsan-83/Machine-Learning-Stanford/blob/main/Lectures/Week%201-Introduction%20to%20Machine%20Learning.pdf)
- Machine Learning Introduction
- Supervised learning
- Unsupervised Learning
- Linear Regression with One Variable
- Gradient Descent
- Cost Function
- [Week 2-Neural Networks Basics](https://github.com/ahsan-83/Deep-Learning-Specialization-Coursera/blob/main/Neural%20Networks%20and%20Deep%20Learning/Lectures/C1_W2.pdf)
- [Week 3-Shallow Neural Networks](https://github.com/ahsan-83/Deep-Learning-Specialization-Coursera/blob/main/Neural%20Networks%20and%20Deep%20Learning/Lectures/C1_W3.pdf)
- [Week 4-Deep Neural Networks](https://github.com/ahsan-83/Deep-Learning-Specialization-Coursera/blob/main/Neural%20Networks%20and%20Deep%20Learning/Lectures/C1_W4.pdf)
### Assignment
- [Week 2-Programming Assignment Python Basics with numpy](https://github.com/ahsan-83/Deep-Learning-Specialization-Coursera/blob/091901143797354484ecea3192b61b1dc0e6a58c/Neural%20Networks%20and%20Deep%20Learning/Assignment/Week%202-Programming%20Assignment%20Python%20Basics%20with%20numpy/Python_Basics_With_Numpy_v3a.ipynb)
- [Week 2-Programming Assignment Logistic Regression with a Neural Network mindset](https://github.com/ahsan-83/Deep-Learning-Specialization-Coursera/blob/main/Neural%20Networks%20and%20Deep%20Learning/Assignment/Week%202-Programming%20Assignment%20Logistic%20Regression%20with%20a%20Neural%20Network%20mindset/Logistic_Regression_with_a_Neural_Network_mindset_v6a.ipynb)
- [Week 3-Programming Assignment Planar data classification](https://github.com/ahsan-83/Deep-Learning-Specialization-Coursera/blob/main/Neural%20Networks%20and%20Deep%20Learning/Assignment/Week%203-Programming%20Assignment%20Planar%20data%20classification/Planar_data_classification_with_onehidden_layer_v6c.ipynb)
- [Week 4-Programming Assignment Building your deep neural network Step by Step](https://github.com/ahsan-83/Deep-Learning-Specialization-Coursera/blob/main/Neural%20Networks%20and%20Deep%20Learning/Assignment/Week%204-Programming%20Assignment%20Building%20your%20deep%20neural%20network%20Step%20by%20Step/Building_your_Deep_Neural_Network_Step_by_Step_v8a.ipynb)
- [Week 4-Programming Assignment Deep Neural Network Application](https://github.com/ahsan-83/Deep-Learning-Specialization-Coursera/blob/main/Neural%20Networks%20and%20Deep%20Learning/Assignment/Week%204-Programming%20Assignment%20Deep%20Neural%20Network%20Application/Deep%2BNeural%2BNetwork%2B-%2BApplication%2Bv8.ipynb)
### Quizes
- [Week 1-Introduction to deep learning](https://github.com/ahsan-83/Deep-Learning-Specialization-Coursera/blob/main/Neural%20Networks%20and%20Deep%20Learning/Quizes/Week%201-Introduction%20to%20deep%20learning.pdf)
- [Week 2-Neural Network Basics](https://github.com/ahsan-83/Deep-Learning-Specialization-Coursera/blob/main/Neural%20Networks%20and%20Deep%20Learning/Quizes/Week%202-Neural%20Network%20Basics.pdf)
- [Week 3-Shallow Neural Networks](https://github.com/ahsan-83/Deep-Learning-Specialization-Coursera/blob/main/Neural%20Networks%20and%20Deep%20Learning/Quizes/Week%203-Shallow%20Neural%20Networks.pdf)
- [Week 4-Key concepts on Deep Neural Networks](https://github.com/ahsan-83/Deep-Learning-Specialization-Coursera/blob/main/Neural%20Networks%20and%20Deep%20Learning/Quizes/Week%204-Key%20concepts%20on%20Deep%20Neural%20Networks.pdf)
### [Grades](https://github.com/ahsan-83/Deep-Learning-Specialization-Coursera/blob/main/Neural%20Networks%20and%20Deep%20Learning/Certificate/Grades.pdf)
### [Certificate](https://www.coursera.org/account/accomplishments/verify/2ZGBA3L6AZ5Q)