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Web Scraping in Python using Scrapy (with multiple examples)
Introduction The explosion of the internet has been a boon for data enthusiasts. The variety and quantity of data that is available today through …
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Beginner’s guide to build data visualisations on the web with D3.js
Introduction I am sure you have heard this many times A picture is worth a thousand words. I think with the proliferation of data, …
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Debugging & Visualising training of Neural Network with TensorBoard
Introduction I started my deep learning journey a few years back. I have learnt a lot in this period. But, even after all these …
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Text Classification & Word Representations using FastText (An NLP library by Facebook)
Introduction If you put a status update on Facebook about purchasing a car – don’t be surprised if Facebook serves you a car ad …
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Covariate Shift – Unearthing hidden problems in Real World Data Science
Introduction You may have heard from various people that data science competitions are a good way to learn data science, but they are not …
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Tutorial on Automated Machine Learning using MLBox
Introduction Recently, one of my friends and I were solving a practice problem. After 8 hours of hard work & coding, my friend Shubham …
![30 Questions to test a data scientist on Natural Language Processing [Solution: Skilltest – NLP]](https://s3-ap-south-1.amazonaws.com/av-blog-media/wp-content/uploads/2017/07/03095309/text-mining_small_H5AMwWm-258x169.png "30 Questions to test a data scientist on Natural Language Processing [Solution: Skilltest – NLP]")
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30 Questions to test a data scientist on Natural Language Processing [Solution: Skilltest – NLP]
Introduction Humans are social animals and language is our primary tool to communicate with the society. But, what if machines could understand our language …
![30 Questions to test a data scientist on Linear Regression [Solution: Skilltest – Linear Regression]](https://s3-ap-south-1.amazonaws.com/av-blog-media/wp-content/uploads/2017/07/03094331/liner_reger_small-258x169.png "30 Questions to test a data scientist on Linear Regression [Solution: Skilltest – Linear Regression]")
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30 Questions to test a data scientist on Linear Regression [Solution: Skilltest – Linear Regression]
Introduction Linear Regression is still the most prominently used statistical technique in data science industry and in academia to explain relationships between features. A …
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Architecture of Convolutional Neural Networks (CNNs) demystified
Introduction I will start with a confession – there was a time when I didn’t really understand deep learning. I would look at the …
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Hands on with Deep Learning – Solution for Age Detection Practice Problem
Introduction It is one thing to learn data science by reading or watching a video / MOOC and other to apply it on problems. …
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Course Review – PG Diploma in Data Analytics by UpGrad & IIIT-B
The analytics training landscape in India is changing very rapidly and for the right reasons. There is a huge talent gap to solve for. …
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A comprehensive beginners guide for Linear, Ridge and Lasso Regression
Introduction I was talking to one of my friends who happens to be an operations manager at one of the Supermarket chains in India. …
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How to create animated GIF images for data visualization using gganimate (in R)?
Introduction Data visualization is probably the most important and typically the least talked about area of data science. I say that because how you …
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Introductory guide to Generative Adversarial Networks (GANs) and their promise!
Introduction Neural Networks have made great progress. They now recognize images and voice at levels comparable to humans. They are also able to understand natural …
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Which algorithm takes the crown: Light GBM vs XGBOOST?
Introduction If you are an active member of the Machine Learning community, you must be aware of Boosting Machines and their capabilities. The development …
