Python is a high level and interpreted programming language. But its syntax rules enable programmers to keep the source code of custom software applications readable and maintainable. Also, the general-purpose programming language allows programmers to run the same code on multiple platforms without recompilation.
This ipython notebook carries some basics of the following:
- Basic Syntax and concepts involved in Python.
- Ordinary Logistic regression (OLR).
- Multiple linear regression (MLR).
##Prior Knowledge that are required to understand this??
- Basic idea about Jupyter Notebook is required,
- Basic knowladge about Anaconda and package installation,
References :
- Jpyter notebook tutorial (you can follow any other source such as YouTube) link, https://www.dataquest.io/blog/jupyter-notebook-tutorial/
- Installation of Anaconda package manager for Windows, link: https://mas-dse.github.io/startup/anaconda-windows-install/
- 365datascience, link: https://www.udemy.com/course/the-data-science-course-complete-data-science-bootcamp
Note: All the figues and data are taken from different sources and i personally dont hold any of the copy rights. All the copy rights goes to the respective Authors. This is an attempt to look at python language differently in a much easier and interactive fun way of learing it using Jupyter notebook.
Contact information:
ResearchGate:www.researchgate.net/Rik_Ganguly
gmail: rikmicrobio@gmail.com
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