HowTo

Data Cleaning – A Practical Example with Coronavirus Dataset using Pandas and Schedule For Automatic Updates

In a previous tutorial we saw how to do an analysis of the coronavirus (covid19) outbreak using the dataset fetched from John Hopkins on Github.  In this section we will see how to automatically fetch the new updated data daily ,prepare and clean the dataset for further analysis. Since this is an ongoing study and …

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How to Deploy A Face Detection Streamlit App on Heroku

In the previous tutorial,we saw how to build a simple face detection and image manipulation app with streamlit and opencv in python.   In this tutorial we will see how to deploy our app on heroku.  Deploying apps on heroku is quite simple, but you can face some issues when trying to deploy a computer …

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hugframeworkpython

Introduction to Hug Framework – Building a Package,API and CLI at once

In this tutorial we will be learning about how to work with a nice framework called Hug. Hug is a framework that allows you to expose a single code in several ways. You can use hug to build some cool products . You can check out how to use hug to productionize your ML models …

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How to Deploy Streamlit Apps to Google Cloud Platform(GCP App Engine)

In the previous tutorial we saw how to deploy streamlit using docker. In this tutorial we will be looking at how to deploy our streamlit app to Google Cloud Platform App Engine using docker. Docker gives you the possibility to deploy apps on any available cloud platform such as GCP,Azure,AWS ,Alibabacloud etc. The main requirements …

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How to Add Anaconda To Windows Terminal For Data Science

In this tutorial we will be learning about how to customize your windows terminal with anaconda or any other program that runs in the command prompt. First of all we will install windows terminal and then anaconda. Installing Windows Terminal The requirements for installing windows terminal is that your Windows 10 Operating system must have …

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How to Deploy Streamlit Apps with Docker

In a previous tutorial we learnt about the various ways of productionizing and deploying machine learning models and one of the ways is to use docker. In this tutorial we will be using docker to deploy our streamlit app. What is Docker? Docker is a platform for developers and sysadmins to build, share and run …

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