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Summarizer and Named Entity Checker App with Streamlit and SpaCy

In this tutorial, we will be building a summarization app as well as a named entity checker app using streamlit, spacy,gensim and sumy. The NLP app will consist of three parts. Summarizer Entity Checker Entity Checker of Text Extracted from a URL We will be using displacy from spacy to display our Named Entity in …

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4 Ways to Productionize Your Machine Learning Models

Artificial Intelligence which includes Machine learning,Deep Learning,etc has changed the world and it is going to continue to change our lives. As we begin to accumulate more data via the smart technologies we used, there is going to be a huge demand for storage of these data. But that is not all, there is also …

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building machine learning apps with streamlit

Building Machine Learning Apps with Streamlit (How to Embed ML Models)

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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Building An Iris Exploratory Data Analysis App with Streamlit in Python

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 …

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author attribution machine learning in python

Predicting Authors of Bible Passages with Machine Learning(Author Attribution)

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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