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Added course exercises and assignments links
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PavlosIsaris committed Mar 8, 2020
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Expand Up @@ -29,32 +29,32 @@ By the end of this course, you will be able to:<br>
- Getting started with Python, Jupyter Notebook & Turi Create
- Getting started with SFrames for data engineering and analysis
- Week 1 Exercises:<br>
- [Course examples]()
- [Getting started with SFrames assignment]()
- [Course examples](https://github.com/PavlosIsaris/Coursera-Machine-Learning-Foundations-A-Case-Study-Approach/blob/master/course-exercises/week1-Getting-started-with-Sframes/Class-examples.ipynb)
- [Getting started with SFrames assignment](https://github.com/PavlosIsaris/Coursera-Machine-Learning-Foundations-A-Case-Study-Approach/blob/master/course-exercises/week1-Getting-started-with-Sframes/Getting-started-with-SFrames.ipynb)

- ## Week 2 - Regression
- Linear regression modeling
- Evaluating regression models
- Summary of regression
- Week 2 Exercises:<br>
- [Course examples - Predicting House Prices]()
- [Predicting House Prices assignment]()
- [Course examples - Predicting House Prices](https://github.com/PavlosIsaris/Coursera-Machine-Learning-Foundations-A-Case-Study-Approach/blob/master/course-exercises/week2-Linear-regression/Class-examples.ipynb)
- [Predicting House Prices assignment](https://github.com/PavlosIsaris/Coursera-Machine-Learning-Foundations-A-Case-Study-Approach/blob/master/course-exercises/week2-Linear-regression/Predicting-house-prices.ipynb)

- ## Week 3 Classification: Analyzing Sentiment
- Classification modeling
- Evaluating classification models
- Summary of classification
- Week 3 Exercises:<br>
- [Course examples - Analyzing sentiment]()
- [Analyzing sentiment assignment]()
- [Course examples - Analyzing sentiment](https://github.com/PavlosIsaris/Coursera-Machine-Learning-Foundations-A-Case-Study-Approach/blob/master/course-exercises/week3-Classification-modeling/Class-examples.ipynb)
- [Analyzing sentiment assignment](https://github.com/PavlosIsaris/Coursera-Machine-Learning-Foundations-A-Case-Study-Approach/blob/master/course-exercises/week3-Classification-modeling/Analyzing-product-sentiment.ipynb)

- ## Week 4 - Clustering and Similarity: Retrieving Documents
- Algorithms for retrieval and measuring similarity of documents
- Clustering models and algorithms
- Summary of clustering and similarity
- Week 4 Exercises:<br>
- [Course examples - Document retrieval]()
- [Retrieving Wikipedia articles assignment]()
- [Course examples - Document retrieval](https://github.com/PavlosIsaris/Coursera-Machine-Learning-Foundations-A-Case-Study-Approach/blob/master/course-exercises/week4-Clustering-and-Similarity/Class-examples.ipynb)
- [Retrieving Wikipedia articles assignment](https://github.com/PavlosIsaris/Coursera-Machine-Learning-Foundations-A-Case-Study-Approach/blob/master/course-exercises/week4-Clustering-and-Similarity/Retrieving-Wikipedia-articles-assignment.ipynb)


- ## Week 5 - Recommender systems
Expand All @@ -64,13 +64,13 @@ By the end of this course, you will be able to:<br>
- Performance metrics for recommender systems
- Summary of recommender systems
- Week 5 Exercises:<br>
- [Course examples - Song recommender system]()
- [Recommending Songs assignment]()
- [Course examples - Song recommender system](https://github.com/PavlosIsaris/Coursera-Machine-Learning-Foundations-A-Case-Study-Approach/blob/master/course-exercises/week5-Recommender-systems/Class-examples.ipynb)
- [Recommending Songs assignment](https://github.com/PavlosIsaris/Coursera-Machine-Learning-Foundations-A-Case-Study-Approach/blob/master/course-exercises/week5-Recommender-systems/Recommending-songs.ipynb)

- ## Week 6 - Deep Learning
- Neural networks: Learning very non-linear features
- Deep learning & deep features
- Summary of deep learning
- Week 6 Exercises:<br>
- [Course examples - Deep features for image classification]()
- [Deep features for image retrieval assignment]()
- [Course examples - Deep features for image classification](https://github.com/PavlosIsaris/Coursera-Machine-Learning-Foundations-A-Case-Study-Approach/blob/master/course-exercises/week6-Neural-Networks/Class-examples-deep-learning.ipynb)
- [Deep features for image retrieval assignment](https://github.com/PavlosIsaris/Coursera-Machine-Learning-Foundations-A-Case-Study-Approach/blob/master/course-exercises/week6-Neural-Networks/Retrieving-Images-exercise.ipynb)

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