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Typos #7

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4 changes: 2 additions & 2 deletions README.md
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*If you want to know more about Data Science but don't know where to start this list is for you!* :chart_with_upwards_trend:

No previous knowledge required but Python and statistics basics will definitely come in handy. These ressources have been used successfully for many beginners at my local Data Science student group [ML-KA](http://ml-ka.de/).
No previous knowledge required but Python and statistics basics will definitely come in handy. These resources have been used successfully for many beginners at my local Data Science student group [ML-KA](http://ml-ka.de/).

## What is Data Science?

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- [Anaconda Python distribution](https://www.continuum.io/downloads) - Contains most of the important Python packages for Data Science.
- [Spacy](https://spacy.io/) - Open source toolkit for working with text-based data.
- [LightGBM gradient boosting framework](https://github.com/Microsoft/LightGBM) - Successfully used in many Kaggle challenges.
- [Amazon AWS](https://aws.amazon.com/) - Rent cloud servers for more timeconsuming calculations (r4.xlarge server is a good place to start).
- [Amazon AWS](https://aws.amazon.com/) - Rent cloud servers for more time-consuming calculations (r4.xlarge server is a good place to start).


## Data Science Challenges for Beginners
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