Book Content
chapters • 11h16m total length
1. Getting Started with Data Analysis
2. Preprocessing the Data
3. Getting to Grips with Visualization
4. Text Classification
5. Similarity-based Image Retrieval
6. Simulation of Stock Prices
7. Predicting Gold Prices
8. Working with Support Vector Machines
9. Modeling Infectious Disease with Cellular Automata
10. Visualizing Social Network Graphs
11. Sentiment Analysis of Twitter Data
12. Data Processing and Aggregation with MongoDB
13. Working with MapReduce
14. On-line Data Analysis with Jupyter and Wakari
15. Big Data Using Spark
