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https://github.com/nouraalgohary/machine-learning-specialization
https://github.com/nouraalgohary/machine-learning-specialization
andrew-ng andrew-ng-machine-learning coursera deeplearning-ai machine-learning python tensorflow
Last synced: 10 days ago
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- Host: GitHub
- URL: https://github.com/nouraalgohary/machine-learning-specialization
- Owner: NouraAlgohary
- Created: 2022-07-22T00:55:10.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-01-02T20:30:49.000Z (almost 2 years ago)
- Last Synced: 2023-03-07T01:01:14.531Z (over 1 year ago)
- Topics: andrew-ng, andrew-ng-machine-learning, coursera, deeplearning-ai, machine-learning, python, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 1.1 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Machine-Learning-Specialization
Specialization [link](https://www.coursera.org/specializations/machine-learning-introduction)
## 1. Supervised Machine Learning: Regression and Classification
Programming Assignments:
- [Week 2 practice lab: Linear regression](https://github.com/NouraAlgohary/Machine-Learning-Specialization/blob/main/Supervised%20Machine%20Learning:%20Regression%20and%20Classification/C1_W2_Linear_Regression.ipynb)
- [Week 3 practice lab: logistic regression](https://github.com/NouraAlgohary/Machine-Learning-Specialization/blob/main/Supervised%20Machine%20Learning:%20Regression%20and%20Classification/C1_W3_Logistic_Regression.ipynb)
## 2. Advanced Learning Algorithms
Programming Assignments:
- [Practice Lab: Neural Networks for Binary Classification](https://github.com/NouraAlgohary/Machine-Learning-Specialization/blob/main/Advanced%20Learning%20Algorithms/C2_W1_Assignment.ipynb)
- [Practice Lab: Neural Networks for Multiclass classification](https://github.com/NouraAlgohary/Machine-Learning-Specialization/blob/main/Advanced%20Learning%20Algorithms/C2_W2_Assignment.ipynb)
- [Practice Lab: Advice for Applying Machine Learning](https://github.com/NouraAlgohary/Machine-Learning-Specialization/blob/main/Advanced%20Learning%20Algorithms/C2_W3_Assignment.ipynb)
- [Practice Lab: Decision Trees](https://github.com/NouraAlgohary/Machine-Learning-Specialization/blob/main/Advanced%20Learning%20Algorithms/C2_W4_Decision_Tree_with_Markdown.ipynb)
## 3. Unsupervised Learning, Recommenders, Reinforcement Learning
Programming Assignments:
- [k-means](https://github.com/NouraAlgohary/Machine-Learning-Specialization/blob/main/Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/C3_W1_KMeans_Assignment.ipynb)
- [Anomaly Detection](https://github.com/NouraAlgohary/Machine-Learning-Specialization/blob/main/Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/C3_W1_Anomaly_Detection.ipynb)
- [Collaborative Filtering Recommender Systems](https://github.com/NouraAlgohary/Machine-Learning-Specialization/blob/main/Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/C3_W2_Collaborative_RecSys_Assignment.ipynb)
- [Deep Learning for Content-Based Filtering](https://github.com/NouraAlgohary/Machine-Learning-Specialization/blob/main/Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/C3_W2_RecSysNN_Assignment.ipynb)
- [Reinforcement Learning](https://github.com/NouraAlgohary/Machine-Learning-Specialization/blob/main/Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/C3_W3_A1_Assignment.ipynb)