Giter Site home page Giter Site logo

machine-learning-env-setup's Introduction

machine-learning-env-setup

Windows environment setup

Steps to install miniconda, pandas, numpy, matplotlib, scikit-learn and jupyter notebook

  1. Go to https://docs.conda.io/en/latest/miniconda.html

and download windows installer and install

  1. Run below command on anaconda cmd line:

Conda create –prefix ./env pandas numpy matplotlib scikit-learn

  1. Activate conda:

Conda activate path-of-your-project-env

  1. To install another lib in the env:

Conda install jupyter

  1. Open jupyter notebook:

(C:\Users\default.DESKTOP-0NMG7L4\ml_project\env) C:\Users\default.DESKTOP-0NMG7L4\ml_project>jupyter notebook

Open the specified url in browser and you are ready to go with jupyter notebook (pandas, numpy and scikit-learn libraries are already installed as mentioned in step 1)

machine-learning-env-setup's People

Contributors

lipikam avatar

Watchers

James Cloos avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.