Julia for Data Science

Table of Contents

1. The Groundwork: Julia
2. Data Munging
3. Data Exploration
4. Deep dive into inferential statistics
5. Making sense of data using visualization
6. Supervised Machine learning
7. Unsupervised Machine learning
8. Creating ensemble models
9. Time Series
10. Collaborative filtering and recommendation system
11. Deep Learning