Python tutorials

Beginners Guide to Topic Modeling in Python

Introduction Analytics Industry is all about obtaining the “Information” from the data. With the growing amount of data in recent years, that too mostly unstructured, it’s difficult to obtain the relevant and desired information. But, technology has developed some powerful methods which can be used to mine through the data and fetch the information that we are looking for. One such technique in the field of text mining is Topic Modelling. As the name suggests, it is a process to […]

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Natural Language Processing for Beginners: Using TextBlob

Introduction Natural Language Processing (NLP) is an area of growing attention due to increasing number of applications like chatbots, machine translation etc. In some ways, the entire revolution of intelligent machines in based on the ability to understand and interact with humans. I have been exploring NLP for some time now.  My journey started with NLTK library in Python, which was the recommended library to get started at that time. NLTK is a perfect library for education and research, it becomes […]

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The Top GitHub Repositories & Reddit Threads Every Data Scientist should know (June 2018)

Introduction Half the year has flown by and that brings us to the June edition of our popular series – the top GitHub repositories and Reddit threads from last month. During the course of writing these articles, I have learned so much about machine learning from either open source codes or invaluable discussions among the top data science brains in the world. What makes GitHub special is not just it’s code hosting and social collaboration features for data scientists. It […]

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The 25 Best Data Science and Machine Learning GitHub Repositories from 2018

Introduction What’s the best platform for hosting your code, collaborating with team members, and also acts as an online resume to showcase your coding skills? Ask any data scientist, and they’ll point you towards GitHub. It has been a truly revolutionary platform in recent years and has changed the landscape of how we host and even do coding. But that’s not all. It acts as a learning tool as well. How, you ask? I’ll give you a hint – open […]

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5 Amazing Deep Learning Frameworks Every Data Scientist Must Know! (with Illustrated Infographic)

Introduction I have been a programmer since before I can remember. I enjoy writing codes from scratch – this helps me understand that topic (or technique) clearly. This approach is especially helpful when we’re learning data science initially. Try to implement a neural network from scratch and you’ll understand a lot of interest things. But do you think this is a good idea when building deep learning models on a real-world dataset? It’s definitely possible if you have days or […]

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Learn how to Build your own Speech-to-Text Model (using Python)

Overview Learn how to build your very own speech-to-text model using Python in this article The ability to weave deep learning skills with NLP is a coveted one in the industry; add this to your skillset today We will use a real-world dataset and build this speech-to-text model so get ready to use your Python skills!   Introduction “Hey Google. What’s the weather like today?” This will sound familiar to anyone who has owned a smartphone in the last decade. […]

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Hugging Face Releases New NLP ‘Tokenizers’ Library Version (v0.8.0)

Hugging Face is at the forefront of a lot of updates in the NLP space. They have released one groundbreaking NLP library after another in the last few years. Honestly, I have learned and improved my own NLP skills a lot thanks to the work open-sourced by Hugging Face. And today, they’ve released another big update – a brand new version of their popular Tokenizer library.   A Quick Introduction to Tokenization So, what is tokenization? Tokenization is a crucial […]

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Handling Imbalanced Data – Machine Learning, Computer Vision and NLP

This article was published as a part of the Data Science Blogathon. Introduction: In the real world, the data we gather will be heavily imbalanced most of the time. so, what is an Imbalanced Dataset?. The training samples are not equally distributed across the target classes.  For instance, if we take the case of the personal loan classification problem, it is effortless to get the ‘not approved’ data, in contrast to,  ‘approved’ details. As a result, the model is more […]

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Gradient Descent in Python: Implementation and Theory

Introduction This tutorial is an introduction to a simple optimization technique called gradient descent, which has seen major application in state-of-the-art machine learning models. We’ll develop a general purpose routine to implement gradient descent and apply it to solve different problems, including classification via supervised learning. In this process, we’ll gain an insight into the working of this algorithm and study the effect of various hyper-parameters on its performance. We’ll also go over batch and stochastic gradient descent variants as […]

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Tapping Twitter Sentiments: A Complete Case-Study on 2015 Chennai Floods

Introduction We did this case study as a part of our capstone project at Great Lakes Institute of Management, Chennai. After we presented this study, we got an overwhelming response from our professors & mentors. Later, they encouraged us to share our work to help others learn something new. We’ve been following Analytics Vidhya for a while now. Everyone knows, it’s probably the largest engine to share analytics knowledge. We tried and got lucky in connecting with their content team. So, […]

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