GitHub - AchilleSalaun/Algorithmic-Machine-Learning: Notebooks made for the Algorithmic Machine Learning course at Eurecom in 2016 with Achille Salaün

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Name		Name	Last commit message	Last commit date
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Notes.txt		Notes.txt
[Lecture 10+11] Anomaly Detection in Network Traffic with K-means clustering.html		[Lecture 10+11] Anomaly Detection in Network Traffic with K-means clustering.html
[Lecture 10+11] Anomaly Detection in Network Traffic with K-means clustering.ipynb		[Lecture 10+11] Anomaly Detection in Network Traffic with K-means clustering.ipynb
[Lecture 12+13] Analyzing Neuroimaging Data with PySpark and Thunder.html		[Lecture 12+13] Analyzing Neuroimaging Data with PySpark and Thunder.html
[Lecture 12+13] Analyzing Neuroimaging Data with PySpark and Thunder.ipynb		[Lecture 12+13] Analyzing Neuroimaging Data with PySpark and Thunder.ipynb
[Lecture 3+4] Recommender algorithm - Music recommendations.html		[Lecture 3+4] Recommender algorithm - Music recommendations.html
[Lecture 3+4] Recommender algorithm - Music recommendations.ipynb		[Lecture 3+4] Recommender algorithm - Music recommendations.ipynb
[Lecture 5+6] Regression algorithm - Using Random Forests to predict Airplane Delays.html		[Lecture 5+6] Regression algorithm - Using Random Forests to predict Airplane Delays.html
[Lecture 5+6] Regression algorithm - Using Random Forests to predict Airplane Delays.ipynb		[Lecture 5+6] Regression algorithm - Using Random Forests to predict Airplane Delays.ipynb
[Lecture 7+8] Estimating Financial Risk through Monte Carlo Simulation.html		[Lecture 7+8] Estimating Financial Risk through Monte Carlo Simulation.html
[Lecture 7+8] Estimating Financial Risk through Monte Carlo Simulation.ipynb		[Lecture 7+8] Estimating Financial Risk through Monte Carlo Simulation.ipynb