osin-vladimir/intro_to_data_science

Introduction to Data Science with Python

Introduction to Data Science with Python

Course Content

1. Preparation [lecture] [assignment]
   • Please install required libraries using this manual
   • Familiarize yourself with:
     • Python [notebook] [cheat_sheet]
     • Numpy [notebook] [cheat_sheet]
     • Matplotlib [notebook] [cheat_sheet]
     • Pandas [notebook] [cheat_sheet]
2. Supervised Learning [lecture] [notebook] [scikit learn cheat_sheet]
3. Unsupervised Learning [lecture] [notebook]
4. Deep Learning [lecture] [notebook] [keras cheat_sheet]
5. Reinforcement Learning [lecture] [notebook]

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Course Initiative:

• Vladimir Osin

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Places where this course has been taught (physically)

• Philips Lighting / Signify