This repository contains resources and cheatsheets that will be helpful for the course (and after it!).
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Cheat-Sheets
Data-Analysis.md
Data-Visualization.md
Datasets.md
Enviroment.md
Machine-Learning.md
NLP.md
Python.md
README.md
Statistics.md

README.md

Data Science Resources

This repository contains resources and cheatsheets that will be helpful for the course (and after it!).

  • Cheat Sheets - a lot of useful cheat sheets for Python, data analysis, machine learning, Git and more.
  • Development Environment - development environment resources: Command Line, Git, Jupyter Notebook, etc.
  • Python - basic and intermediate Python guides, tips and resources.
  • Data Analysis - data analysis resources: Pandas and NumPy libraries, Exploratory Data Analysis (EDA), etc.
  • Data Visualization - various data visualization guides - Pandas plotting, Matplotlib, Seaborn, Bokeh.
  • Machine Learning - different machine learning guides: supervised learning (regression, classification, tree-based models etc), unsupervised learning (clustering), feature selection, model evaluation, etc.
  • Natural Language Processing - Natural Language Processing resources: NLTK, SKLearn NLP and more.
  • Statistics and Math - mostly optional reading for students who would like to deepen their understanding of statistics and math.
  • Datasets - links to interesting datasets.