Spark data science zeppelin notebooks
#Advanced analytics with Spark (Book)
| Description | Language | ML-Component | Link | View |
|---|---|---|---|---|
| AAS (Chapter 3): Recommending music (alternating least squares recommender) | Spark | |||
| AAS (Chapter 4): Predicting forest cover with decision trees | Spark | Decision Tree | ||
| AAS (Chapter 5): Anomaly Detection in Network Traffic with K-means clustering | Spark | K-Means | ||
| AAS (Chapter 6): Understanding Wikipedia with Latent Semantic Analysis | Spark | |||
| AAS (Chapter 7): Analyzing Co-occurrence Networks with GraphX | Spark | |||
| AAS (Chapter 8): Geospatial and Temporal Data Analysis on the New York City Taxi Trip Data | Spark | |||
| AAS (Chapter 9): Estimating Financial Risk through Monte Carlo Simulation | Spark | Monte-Carlo Simulation | ||
| AAS (Chapter 10): Analyzing Genomics Data and the BDG Project | Spark | |||
| AAS (Chapter 11): Analyzing Neuroimaging Data with PySpark and Thunder | Spark |
#Machine learning
| Description | Language | ML-Component | Link | View | Author |
|---|---|---|---|---|---|
| Kaggle- AirBNB - Data exploration | Python | feature engineering | ipython_notebooks | https://www.kaggle.com/c/titanic/details/getting-started-with-python | |
| Kaggle- AirBNB - Data exploration 2 | Python | feature engineering | ipython_notebooks | https://www.kaggle.com/dimon009/airbnb-recruiting-new-user-bookings/airbnb-exploratory-analysis |
#Other
| Description | Language | ML-Component | Link | View | Author |
|---|---|---|---|---|---|
| Kaggle- Titanic survival prediction | SparkSQL | 2BEVBMRCY | https://www.kaggle.com/c/titanic/details/getting-started-with-python | ||
| earthquake visualisation | Spark | 2BEPUUY8B |