Difficulty Level
Intermediate
Completion Time
11h32m
Language
English
About Book
Who Is This Book For?
This book is aimed at data analysts and aspiring data scientists who have a basic knowledge of Julia or are completely new to it. The book also appeals to those competent in R and Python and wish to adopt Julia to improve their skills set in Data Science. It would be beneficial if the readers have a good background in statistics and computational mathematics.
Julia for Data Science
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h32m total length
The Groundwork: Julia’s environment
Data Munging
Data Exploration
Deep dive into inferential statistics
Making sense of data using visualization
Supervised Machine learning
Unsupervised Machine learning
Creating ensemble models
Time Series
Collaborative filtering and recommendation system
Deep Learning
Related Resources
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