Programming is the next generation literacy. It is something that everyone should endeavor to at least understand a bit. Just as reading and writing act as one of the backbones of civilization and scholarship, even so are programming and coding in this century and beyond. Programming is a broad field with several opportunities and usefulness. …
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 …
Summarizer and Named Entity Checker App with Streamlit and SpaCy Read More »
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 …
4 Ways to Productionize Your Machine Learning Models Read More »
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 …
Building a News Classifier Machine Learning App with Streamlit Read More »
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 …
Building Machine Learning Apps with Streamlit (How to Embed ML Models) Read More »
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 …
Building A Natural Language Processing App with Streamlit,SpaCy and Python Read More »
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 »