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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 …
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Getting started with Deep Learning using Keras and TensorFlow in R
Introduction It has always been a debatable topic to choose between R and Python. The Machine Learning world has been divided over the preference …
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My journey from being an IT engineer to Head of Analytics
Background – when sufficient is not enough I was an engineer working with an MNC in a pretty cushy job. It would have been a …
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An Intuitive Understanding of Word Embeddings: From Count Vectors to Word2Vec
Introduction Before we start, have a look at the below examples. You open Google and search for a news article on the ongoing Champions …
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Transfer learning & The art of using Pre-trained Models in Deep Learning
Introduction Neural networks are a different breed of models compared to the supervised machine learning algorithms. Why do I say so? There are multiple …
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Building Trust in Machine Learning Models (using LIME in Python)
The value is not in software, the value is in data, and this is really important for every single company, that they understand what …
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Understanding and coding Neural Networks From Scratch in Python and R
Introduction You can learn and practice a concept in two ways: Option 1: You can learn the entire theory on a particular subject and …
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Launching Analytics Industry Report 2017 – Trends and Salaries in India
Introduction Let me start with laying out a recent experience: I was in middle of a large audience up-skilling themselves in analytics. Average experience in room …
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A comprehensive beginners guide to Linear Algebra for Data Scientists
Introduction One of the most common question we get on Analytics Vidhya is: How much maths do I need to learn to be a …
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25 Must Know Terms & concepts for Beginners in Deep Learning
Artificial Intelligence, deep learning, machine learning — whatever you’re doing if you don’t understand it — learn it. Because otherwise you’re going to be a dinosaur within 3 years. …
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Why are GPUs necessary for training Deep Learning models?
Introduction Most of you would have heard exciting stuff happening using deep learning. You would have also heard that Deep Learning requires a lot …
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Hands on tutorial to perform Data Exploration using Elastic Search and Kibana (using Python)
Introduction Exploratory Data Analysis (EDA) helps us to uncover the underlying structure of data and its dynamics through which we can maximize the insights. EDA …
