Create README.md

Author: samorr

README.md

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+# Data-science-Python-tutorials
+All tutorials below are prepared as Jupyter Notebooks
+
+These are:
+ - [00_Jupyter](https://github.com/samorr/Data-science-Python-tutorials/tree/master/00_Jupyter) -
+ tutorial of basic and advanced usage of Jupyter Notebooks
+ - [01_cookbook](https://github.com/samorr/Data-science-Python-tutorials/tree/master/01_cookbook) -
+ very broad tutorial of scientific Python usage in specific applications from statystics and machine learning
+ to signal processing. Also good ways and practices of optimization
+ - [Bokeh](https://github.com/samorr/Data-science-Python-tutorials/tree/master/Bokeh) -
+ tutorial of Bokeh visualization
+ - [Cheatsheets](https://github.com/samorr/Data-science-Python-tutorials/tree/master/Cheatsheets) -
+ many cheatsheets about R and Python
+ - [Example Data Science Notebook](https://github.com/samorr/Data-science-Python-tutorials/tree/master/Example%20Data%20Science%20Notebook) -
+ very detailed and well prepared example of notebook about classification on Iris dataset
+ - [Python Data Science Handbook](https://github.com/samorr/Data-science-Python-tutorials/tree/master/Python%20Data%20Science%20Handbook) -
+ great tutorial of most important machine learning Python libraries - NumPy, Pandas, matplotlib and Scikit-Learn. Also IPython chapter
+ - [SKLearn Tutorial](https://github.com/samorr/Data-science-Python-tutorials/tree/master/SKLearn%20Tutorial) -
+ look at basic Scikit-Learn algorithms
+ - [Titanic](https://github.com/samorr/Data-science-Python-tutorials/tree/master/Titanic) -
+ well prepared and detailed notebook about classification on Titanic dataset