Data-science-Python-tutorials

All tutorials below are prepared as Jupyter Notebooks

These are:

• 00_Jupyter - tutorial of basic and advanced usage of Jupyter Notebooks
• 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 - tutorial of Bokeh visualization
• Cheatsheets - many cheatsheets about R and Python
• Example Data Science Notebook - very detailed and well prepared example of notebook about classification on Iris dataset
• Python Data Science Handbook - great tutorial of most important machine learning Python libraries - NumPy, Pandas, matplotlib and Scikit-Learn. Also IPython chapter
• SKLearn Tutorial - look at basic Scikit-Learn algorithms
• Titanic - well prepared and detailed notebook about classification on Titanic dataset