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https://github.com/kdchang/datascience101

This is a Data Science Learning book with Python for beginner
https://github.com/kdchang/datascience101

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This is a Data Science Learning book with Python for beginner

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# Data Science 101

This is a Data Science Learning book and note for beginner (Machine Learning/Deep Learning/Data Mining/Artificial Intelligence/Natural Language Processing/Data Analysis)

## Content of table
1. Basic
2. Advance

## Documents
1. [Titanic: Machine Learning from Disaster](https://www.kaggle.com/c/titanic#tutorials)
2. [Intro to Data Analysis](https://www.udacity.com/course/intro-to-data-analysis--ud170)
3. [Intro to Machine Learning](https://www.udacity.com/course/intro-to-machine-learning--ud120)
4. [Deep Learning](https://www.udacity.com/course/deep-learning--ud730)
5. [Intro to Artificial Intelligence](https://www.udacity.com/course/intro-to-artificial-intelligence--cs271)
6. [SIRAJ RAVAL'S DEEP LEARNING](https://www.udacity.com/course/deep-learning-nanodegree-foundation--nd101)
7. [Fast.ai](http://www.fast.ai/)
8. [Dataquest](https://www.dataquest.io/home)
9. [Siraj Raval](https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A)
10. [Floyd Hub](https://www.floydhub.com/)
11. [Data Camp](https://www.datacamp.com/)
12. [Kaggle](https://www.kaggle.com/)
13. [kdnuggets](http://www.kdnuggets.com/)
14. [r-bloggers](https://www.r-bloggers.com/)

## Courses
1. [Kaggle Python Tutorial on Machine Learning](https://www.datacamp.com/community/open-courses/kaggle-python-tutorial-on-machine-learning#gs.NT85oRI)

## Math
1. [Differential calculus](https://www.khanacademy.org/math/differential-calculus)
2. [Linear algebra](https://www.khanacademy.org/math/linear-algebra)