Category: Python

Python tutorials

Beginner, Libraries, NLP, Python, Text, Unstructured Data

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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Automl, Beginner, Libraries, Machine Learning, NLP, Project, Python, Structured Data, Text

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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Python

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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Deep Learning, Intermediate, NLP, Python, Unstructured Data

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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Python

Using the Python or Operator

There are three Boolean operators in Python: and, or, and not. With them, you can test conditions and decide which execution path your programs will take. In this tutorial, you’ll take a deep dive into the Python or operator and how to use it. By the end of this course, you’ll have learned: How the Python or operator works How to use the Python or operator in Boolean and non-Boolean contexts What kind of programming problems you can solve by […]

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Advanced, Deep Learning, NLP, Python, Text

Hands-on Experience With GPT3!

This article was published as a part of the Data Science Blogathon. Yes, you read it right. In this article, I will give you a hands-on experience of GPT3. I was lucky enough to get access to private beta after waiting for 8 months 🙂 Introduction Last week I was exploring with GPT-3. I was thinking I will learn it in a data it two. But boy it took me a lot of time to learn it. I was very surprised […]

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Python

Embedded Python: Build a Game on the BBC micro:bit

Writing code that runs in the terminal or in your web browser is good fun. Writing code that affects the real world, however, can be satisfying on a whole other level. Writing this sort of code is called embedded development, and Python is making it more accessible than ever! This tutorial contains code snippets that allow you to build a simple game on the BBC micro:bit. To access the full code and get a sneak preview on what you’ll be […]

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Data Science, Intermediate, NLP, Python, Unstructured Data, Unsupervised

Build your own NLP based search engine Using BM25

Introduction Ever wondered how these search engines like Google and Yahoo work. And ever thought about how can they scan all through the internet and return relevant results in just About 5,43,00,000 results (0.004seconds). Well, they work on the concept of Crawling and Indexing. Crawling: Automated bots looks for pages that are new or updated. And stores the key information like — URL, title, keywords, and so on from the pages to be used later. Indexing: Data captured from crawling is analyzed […]

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Advanced, NLP, Python, Text

AIML – A Language for Chatbots

This article was published as a part of the Data Science Blogathon. What is a Chatbot? Chatbots are intelligent digital assistants which may address customer’s basic and predictable queries. They offer numerous services via chatting and perform basic customer service operations. Chatbots work 24/7 and hence they provide assistance when offices are closed on holidays. There are a variety of synonyms for chatbot, including “talkbot,” “bot,” “IM bot,” “interactive agent” or “artificial conversation entity.“ Most organizations have already started implementing […]

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Python

Docker can slow down your code and distort your benchmarks

One of the benefits of containers over virtual machines is that you get some measure of isolation without the performance overhead or distortion of virtualization. Docker images therefore seem like a good way to get a reproducible environment for measuring CPU performance of your code. There are, however, complications. Sometimes, running under Docker can actually slow down your code and distort your performance measurements. On macOS and Windows, for example, standard Linux-based Docker containers aren’t actually running directly on the […]

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