Among the many applications of machine learning and AI is text classification. In this tutorial we will see how to build a news classifier app with streamlit and python. We will be using our already prepared ML models to help us with our prediction. First of all, let us install the various packages we will …
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In this tutorial, we will be learning how to use an awesome framework called streamlit to productionize our machine learning models. We will learn how to embed our ML models into streamlit, we will build machine learning apps with streamlit. So what is Streamlit? Streamlit is a machine learning framework for building production ready ML …
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Streamlit makes the creation of ML tools and Data Science Apps very easy and simple. In this tutorial we will see how to deploy our awesome streamlit apps on Amazon Web Services(AWS). We will be using the aws EC2 service. EC2 is an elastic cloud compute that acts as a virtual server that operate in …
In this tutorial , we will be learning how to deploy our awesome streamlit apps. The simplicity of streamlit makes it easier to build ML apps, Data Science Apps and other python apps. So what do you do if you want to deploy or publish your streamlit app? There are several options and platforms that …
Streamlit is Awesome!!!. In this post, we will build a simple Natural Language Processing App(NLP) app with streamlit in python. Our app will be useful for some interesting aspect of NLP such as: Tokenization and Lemmatization of Text Named Entity Recognition Sentiment Analysis Text Summarization We will be using the wonderful SpaCy library for our …
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In this crash course we will be learning about the Streamlit framework, a very powerful framework for building Machine Learning and Data Science tools and apps. Streamlit allows you to convert your normal python code into beautiful UI which is quite easy and very interactive. You can do more with as little code as possible. …
Streamlit is so cool. After scanning through their documentations and api, as always we will build a simple Exploratory Data Analysis (EDA) app using streamlit in python. We will be building one for the famous iris dataset. First of all what is streamlit? Streamlit is a great framework for building ML tools with speed. It …
Building An Iris Exploratory Data Analysis App with Streamlit in Python Read More »
The rise of Artificial Intelligence and Machine Learning has changed the way we live. Many people are venturing into this new field and have been mastering how to build machine learning(ML) models. The benefits of building ML models are enormous but we can do more than just build models. We will have to utilize these …
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Predicting Authors of Bible Passages with Machine Learning(Author Attribution) Machine learning and AI have impacted the way we do things in this era, almost every industry can benefit from ML. In this article we will see how to use ML to predict the particular author of a bible passage. This is a build up of …
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We have been building a lot of CLI apps with CLICK in python. In this tutorial we will learn how to test these applications to make it more production ready. It is a useful practice to test your programs and CLI apps you build. CLICK comes with its own unit testing suite which makes it …
Unit Testing CLI Applications built with Python CLICK Read More »