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 …
In this tutorial we will see how to convert JSON – Javascript Object Notation to SQL data format such as sqlite or db. We will be using Pandas for this. Installation pip install pandas sqlalchemy Method 1 : Using Sqlite3 import pandas as pd import json import sqlite # Open JSON data with open(“datasets.json”) as …
API(application programming interface) are a great alternative for communicating and interacting with softwares and applications. In this tutorial we will be learning about how to access and test a web API. A Web API is a form of API that usually utilizes the REST architecture style. It uses the various HTTP request methods to retrieve …
In this tutorial we will be learning how to build an API. What is an API? An API refers to Application Programming Interface. API are like messengers that act as intermediary between two or more applications. It is an interface for interacting and communicating with other softwares and devices. Supposing I have a database or …
Building APIs(Application Programming Interface) – Using Flask, FastAPI and Nodejs Read More »
In a previous post, we learnt about the various ways we can productionize our machine learning models. In this tutorial we will be looking at how to serve our machine learning models as an API- which is one of the ways to productionize your ML model. There are several ways we can achieve this. We …
Serving Machine Learning Models as API with FastAPI Read More »
Building Machine learning models can be time consuming and tedious,but with the advent of Auto ML services and application we can reduce our burden . In this tutorial we will be building a Semi – Automated ML app with streamlit. It is going to be a drag and drop machine learning app that features Exploratory …
Building A Drag & Drop Machine Learning App with Streamlit Read More »
In this tutorial we will be looking at a nice python tool for building and publishing python packages and libraries. Poetry is a python dependency management tool that enables us to manage several python dependencies on your system. It comes with the ability to create virtual environment just like pipenv. Just like pipenv, it manages …
In this tutorial we will be looking at how to use the command line when working with a data science project. We will be doing data analysis with the command line – shell or bash. Most data science projects are done with languages such as Python,R,Julia, Javascript,Java ,C languages,Matlab . We will be checking how …
In this tutorial we will be building a document redaction app. Document redaction refers to the process of sanitizing and censoring a document based on selected terms. It is one of the applications of NLP – natural language processing. This image shows some of it use. In this case the important terms have been blacked …
Building A Document Redactor NLP App with Streamlit,Spacy and Python Read More »
In this tutorial we will be see how to render the named entities of a text extracted using spacy’s displacy in flask. First of all the basic requirement is to use the following packages Flask Spacy Flask-Markdown To install the various packages we will be using pip as below pip install flask Flask-Markdown spacy To …
How to Use Displacy in Flask For Named Entity Recognition Read More »