Thread by @Sachintukumar

Day 12 of #100DayswithMachineLearning

Topic - Installing Anaconda & Gather Basic Knowledge About these Tools - Jupyter Notebook || Google Colab

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1⃣ Anaconda is a distribution of the #Python and R #programming languages for scientific computing (#datascience, #machinelearning applications, large-scale #data processing, predictive analytics, etc.), that aims to simplify package management and #deployment.

2⃣ The #JupyterNotebook is an open source #web application that you can use to create and share documents that contain live #code, equations, #visualizations, and text. Jupyter #Notebook is maintained by the people at Project Jupyter.

Blog Link - realpython.com/jupyter-notebo…

3⃣ Using Jupyter Notebook in Virtual #Environment

We are going to see how to set Virtual Environment in Jupyter Sometime we want to use the Jupyter notebook in a virtual environment so that only selected package are available in scope of #notebook

Blog -geeksforgeeks.org/using-jupyter-…

4⃣ Kaggle is online #community of data scientists and machine learning practitioners. #Kaggle allows users to find and publish data sets, explore and build models in a web-based #datascience environment, work with other data scientists and #machinelearning #engineers

5⃣ @Google Colab is a free Jupyter notebook environment that runs entirely in the #cloud. Most importantly, it does not require a setup and the notebooks that you create can be simultaneously edited by your team members - just the way you edit documents in Google #Docs.

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