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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buildingapiinpython

Building APIs(Application Programming Interface) – Using Flask, FastAPI and Nodejs

In this tutorial we will be learning how to build an API. What is an API? An API refers to Application Programming Interface. API are like messengers that act as intermediary between two or more applications. It is an interface for interacting and communicating with other softwares and devices. Supposing I have a database or …

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serving ml models as api

Serving Machine Learning Models as API with FastAPI

In a previous post, we learnt about the various ways we can productionize our machine learning models. In this tutorial we will be looking at how to serve our machine learning models as an API- which is one of the ways to productionize your ML model. There are several ways we can achieve this. We …

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Building A Drag & Drop Machine Learning App with Streamlit

Building Machine learning models can be time consuming and tedious,but with the advent of Auto ML services and application we can reduce our burden . In this tutorial we will be building a Semi – Automated ML app with streamlit. It is going to be a drag and drop machine learning app that features  Exploratory …

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Building and Publishing Packages with Poetry

In this tutorial we will be looking at a nice python tool for building and publishing python packages and libraries. Poetry is a python dependency management tool that enables us to manage several python dependencies on your system. It comes with the ability to create virtual environment just like pipenv. Just like pipenv, it manages …

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