data-science-python-guide

Full own memo about technics of machine learning with python

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Machine learning

1. Data loading
2. Explore data
   1. Fundamentals of data exploration
   2. Visualize data
3. Cleaning data
4. Data manipulation
   1. General data manipulation
   2. Time series data manipulation
   3. Geographical data manipulation
5. Machine learning
   1. Overview
   2. Classification
   3. Regression
   4. Natural language processing
6. Model testing
7. Pipelines

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Deep learning neural networks

1. Quick install keras deep learning env

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Working with spark

1. Loading data to spark cluster

Tools

• Anaconda
  • Quick install Anaconda Ubuntu
• Stand alone envs with docker

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Usefull trics

• Data manipulation in Dataframes (cheat sheet)
• Loading tests datasets (iris, titanic, ...)
• Working with json and Dataframes
• Generating data arrays (linspace, range, arange)