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DAY15.md

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DAY 15

MACHINE LEARNING

Notes

  • Data is all about business these days
  • combination of science and data to generate and valuabe data to be used in Business is DATA SCIENCE
  • Python cannot process more then 10GB data at once
  • Machine learning is logical analysis of data to accurately do your work
  • AI is a kind of project management (e.g, autodriving of car)
  • Matlab is a mixture of numpy,pandas,seaborn,matplotlib
  • Collection of homogenous values is array
  • slashlinuxcode.blogspot.com use to study about numpy

Data Science

  • In this domain we have:
  1. Bigdata -> domain to store and process , very large amount of data
  2. Machine Learning - > an sorted data is taken from bigdata to be used

Machine Learning

  • A branch in which we teach something to ML and it keeps on learning using logical approach and datasets available to it

  • it will be a communication between user and machine in the language of maths

  • Libraries to be used mostly to deal with data and visualize it :

    1. Numpy
    2. Pandas
    3. SeaBorn
    4. Matplotlib

  • basic data structures used :

    1. list
    2. tuple
    3. for
    4. set

NUMPY

  • Numerical Python or numpy
  • library to use numeric data
  • its advanced version is Tensor Flow
  • stores and process data in the form of array

Data Processing and Visualization

  • its better to represent the data in graphical form rather then numerical values
  • Libraries popularly used for Visualization are:
    1. MPLD3
    2. matplotlib
    3. Seaborn
    4. gnuplot
    5. Dash

MATPLOTLIB

  • its an open source project and we can be contribute in it
  • to delete a module which is imported use
del module-name