Python tutorials

Interesting NLP Use Cases Every Data Science Enthusiast should know!

This article was published as a part of the Data Science Blogathon Introduction Natural Language Processing (NLP) is a subpart of Artificial Intelligence that uses algorithms to understand and process human language. Various computational methods are used to process and analyze human language and a wide variety of real-life problems are solved using Natural Language Processing. (Source: Kaggle.com) Using Natural Language Processing, we use machines by making them understand how human language works. Basically, we use text data and make computers analyze […]

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Visualizing Data in Python Using plt.scatter()

An important part of working with data is being able to visualize it. Python has several third-party modules you can use for data visualization. One of the most popular modules is Matplotlib and its submodule pyplot, often referred to using the alias plt. Matplotlib provides a very versatile tool called plt.scatter() that allows you to create both basic and more complex scatter plots. Below, you’ll walk through several examples that will show you how to use the function effectively. In […]

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Natural Language Processing Step by Step Guide

This article was published as a part of the Data Science Blogathon Overview Basic understanding of Natural Language Processing. Learn Various Techniques used for the implementation of NLP. Understand how to use NLP for text mining. Prerequisite You must have a basic knowledge of Python. As we know every piece of data has some meaning in its position. Most important is that text data is getting generated in various formats like reviews, SMS, emails, and many more for every moment. The […]

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How to Set Up a Django Project

When you start building any new Django web application, there’s a basic setup you need to tackle first. This course outlines the necessary steps to set up a Django project. During this course, you’ll focus on the initial steps you’ll need to take to start a new web application. You should first have Python installed and you should know how to work with virtual environments and Python’s package manager, pip. You won’t need much programming knowledge to follow along with […]

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Shrinking your Python application’s Docker image: an overview

You’ve finished building the initial Docker image for your Python application, you push it to the registry–and that takes a while, because your image is 2GB. Your image is clearly too large, and so your next step is to try to make your Docker image smaller. In this article you’ll find an overview of the many techniques you can use to shrink your image, organized approximately by logical order packaging. The focus is on Python, though many of these techniques […]

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Build a Blog Using Django, Vue, and GraphQL

Are you a regular Django user? Do you find yourself wanting to decouple your back end and front end, handling data persistence in the API while displaying the data in a client-side framework like React or Vue displays that data, in a single-page app (SPA) in the browser? You’re in luck. This tutorial will take you through the process of building a Django blog back end and a Vue front end, using GraphQL to communicate between them. Projects are an […]

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Top 8 Python Libraries For Natural Language Processing (NLP) in 2021

This article was published as a part of the Data Science Blogathon. Introduction Natural language processing (NLP) is a field situated at the convergence of data science and Artificial Intelligence (AI) that – when reduced to the basics – is all about teaching machines how to comprehend human dialects and extract significance from the text. This is additionally why Artificial Intelligence is regularly essential for NLP projects. So what’s the reason, why many companies care about NLP? Basically in light […]

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Machine Learning Automation using EvalML Library

This article was published as a part of the Data Science Blogathon Introduction Machine Learning is one of the fastest-growing technology in the modern era. New innovations in the field of ML and AI are made each and every day which supports the world to leap forward. Earlier for a person entering into the ML field finds it difficult to create accurate machine learning models, but now AutoML Libraries are created which helps the beginners to create an accurate model with […]

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Build a Bulk File Rename Tool With Python and PyQt

Say you need to rename multiple files in your personal folder using a specific naming pattern. Doing that manually can be time-consuming and error-prone. So, you’re thinking of automating the file renaming process by building your own bulk file rename tool using Python. If so, then this tutorial is for you. In this tutorial, you’ll learn how to: Create the GUI for a bulk file rename tool using Qt Designer and PyQt Use PyQt threads to offload the file renaming […]

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SMS Spam Detection Using LSTM – A Hands On Guide!

Introduction  In today’s world, almost everyone is using a mobile phone and all of them will receive messages(SMS/ email) daily on their phone. But the main thing is that many of the received messages will be spam and only a few of them are ham or required messages. In this article, we are going to create an SMS spam detection model which will help you to find whether an SMS is spam or not using LSTM. About Dataset: Here we […]

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