Predicting Coronavirus Outbreak with Facebook Prophets – A Timeseries Forecast

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The recent increase in Coronavirus (Covid 19)  outbreak is gathering several concerns. In this tutorial we will try to see if we can make some predictions and time series forecasting using the data available now. We will be using Facebook Prophet – an opensource package by Facebook for time series forecasting and prediction with pystan …

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

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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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Data Analysis of Coronavirus Outbreak with Python and Geopandas

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  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 …

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How to Deploy A Face Detection Streamlit App on Heroku

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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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Building A Face Detection App with Streamlit and OpenCV

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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. …

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Simple Machine Learning App with Streamlit using Car Evaluation Dataset

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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 …

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

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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)

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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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