Skip to content

Contains amazing projects on Machine&Deep Learning using python with complete explanation & resources required to understand the project!

License

Notifications You must be signed in to change notification settings

HarshitDawar55/Machine_And_Deep_Learning

Repository files navigation

MLDL

Machine_And_Deep_Learning

✨🎆🎉 Important points about this Repository!!!!! 🎉🎆✨

  • It contains projects which uses Machine and Deep Learning with proper explanation.
  • For Explanation of imported libraries, I suggest all to refer the earliest projects in this repository as they have clear cut of the libraries. In latest and upcoming I explain the technology I am using and I also explain the project, but I do not focus on the libraries imported there.

What is Jupyter Notebook?

  • It is tool which provide the easiest interface to work with Python or R programming Language.
  • It provides complete abstraction from the backend processes regarding code execution and libraries included.
  • It act as a portable agent which allows to create and share live code.
  • It is considered to be best alternative to any of the IDE.
  • I prefer it over any other software for smooth workflow.

Instructions to Install Jupyter Notebook

It can be installed through 2 ways!!!

  • Using Anaconda!

    • Visit https://www.anaconda.com/distribution/ to download "Anaconda" software for windows or mac available for both python(2 & 3). This software supports many other things like Spyder IDE, R studio etc.
  • Using PIP(Package Managed for Python)!

    • Install python in your system.
    • Install pip in your system.
    • run command "pip install jupyter".

Instructions for Running the Code

  • Using Anaconda!

    • Download the jupyter notebook from my repository.
    • Open Jupyter Notebook from Anaconda.
    • Locate the downloaded file from the jupyter notebook interface and open it.
  • Using PIP!

    • Download the jupyter notebook from my repository.
    • Run command "jupyter notebook".
    • Locate the downloaded file from the jupyter notebook interface and open it.

LICENSE

To check the license visit LICENSE

About

Contains amazing projects on Machine&Deep Learning using python with complete explanation & resources required to understand the project!

Topics

Resources

License

Code of conduct

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published