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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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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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40 questions to test your skill on R for Data Science
R is one of the most popular language among the data science community. If you are serious about data science, chances are that you …
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Comprehensive & Practical Inferential Statistics Guide for data science
Introduction Statistics is one of the key fundamental skills required for data science. Any expert in data science would surely recommend learning / upskilling yourself …
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The most comprehensive Data Science learning plan for 2017
I joined Analytics Vidhya as an intern last summer. I had no clue what was in store for me. I had been following the …
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Who is the Superhero of Cricket battlefield? An In-Depth Analysis
Introduction The cricket battlefield is competitive and challenging. Players have become extremely professional and disciplined about their training. Companies have optimized the weight of …
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10 Super exciting Data Science / Machine Learning / Artificial Intelligence based startups in India
Introduction Data technologies have been around for some time now. But, increase in data generation and availability of servers on the cloud has enabled …
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Using Platt Scaling and Isotonic Regression to Minimize LogLoss Error in R
Introduction This article is best suited for people who actively (or are aspiring to) participate in data science / machine learning competitions and try …
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Bayesian Statistics explained to Beginners in Simple English
Introduction Bayesian Statistics continues to remain incomprehensible in the ignited minds of many analysts. Being amazed by the incredible power of machine learning, a …
