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 …
The Coronavirus (COVID-19) outbreak is an ongoing outbreak which started in 2019 hence the number 19 in the COVID-19. It is caused by the Severe Acute Respiratory Syndrome(SARS) -CoV-2 virus. In this tutorial we will see how to use python to do some basic exploratory data analysis of the coronavirus outbreak. We will be …
Data Analysis of Coronavirus Outbreak with Python and Geopandas Read More »
Software runs our modern world. Almost every industry utilizes software,making the need for software not just a necessity for progress but also a must to survive and thrive in this era as a business or firm. So you have become a software developer, but how can you earn money from your skill-set which is a …
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 …
How to Deploy A Face Detection Streamlit App on Heroku Read More »
In this tutorial we will be building a simple face detection app with streamlit and OpenCV. We will be using streamlit to help us with our UI. This is going to be a simple Computer Vision App using OpenCV in python. This is how our app will look like after we are done building it. …
Building A Face Detection App with Streamlit and OpenCV Read More »
In this tutorial we will be building a simple ML app with the awesome ML framework -Streamlit. We will be using the car evaluation data set from here. Let us see the basic workflow we will be using for this simple project. Building the ML Model Interpreting the Model Building the ML App with Streamlit …
Simple Machine Learning App with Streamlit using Car Evaluation Dataset Read More »
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 …
Introduction to Hug Framework – Building a Package,API and CLI at once Read More »
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 …
How to Deploy Streamlit Apps to Google Cloud Platform(GCP App Engine) Read More »
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 …
How to Add Anaconda To Windows Terminal For Data Science Read More »
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 …