Difficulty Level
Intermediate
Completion Time
11h16m
Language
English
About Book
Who Is This Book For?
This book is for developers who want to implement data analysis and data-driven algorithms in a practical way. It is also suitable for those without a background in data analysis or data processing. Basic knowledge of Python programming, statistics, and linear algebra is assumed.
Practical Data Analysis
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h16m total length
Getting Started with Data Analysis
Preprocessing the Data
Getting to Grips with Visualization
Text Classification
Similarity-based Image Retrieval
Simulation of Stock Prices
Predicting Gold Prices
Working with Support Vector Machines
Modeling Infectious Disease with Cellular Automata
Visualizing Social Network Graphs
Sentiment Analysis of Twitter Data
Data Processing and Aggregation with MongoDB
Working with MapReduce
On-line Data Analysis with Jupyter and Wakari
Big Data Using Spark
Related Resources
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