Programming – R & Python

  1. ;Objectives
    1. Modify scikit-learn for Machine learning
    2. Building and using own web crawler
    3. Linux system administration
  2. Usage
    1. Heavily used by Google
    2. No.2 Used in data science, after R
  3. Contents
  4. References:
    1. Google’s Python Class.
    2. Introduction to Python.–ud1110
    3. Programming Foundations with Python.–ud036
    4. Top 15 Python Libraries for Data Science in 2017.
    5. 7 Steps to Mastering Data Preparation with Python.
    6. Introduction of Web crawling in Python:
    7. MongoDB and python:
    8. Top 7 Tips for the Model in Android Architectures.
Programming – R & Python

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