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Winning Strategies for ML Competitions from Past Winners
Winning approach & tips from Sudalai Rajkumar, Rohan Rao & Steve Donoho. To help participants improve their strategies for ML competitions
Kunal Jain 21 Oct, 2016
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Knocktober – Machine learning Competition, 21st Oct, Analytics Vidhya
Machine learning competition for data scientist & machine learning nerds. Improve, Compete & win cash prizes.
Analytics Vidhya 19 Oct, 2016
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16 New Must Watch Tutorials, Courses on Machine Learning
This article features youtube videos on machine learning tutorial for beginners. Also discover courses on machine learning and how machine learning is used.
Analytics Vidhya 05 Jul, 2020
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Creating Interactive data visualization using Shiny App in R (with examples)
An introduction to Shiny App and data visualization using this app in R. It contains detailed explanations in UI.R and Server.R along with codes.
saurav kaushik 05 Jul, 2020
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Tutorial: Optimizing Neural Networks using Keras (with Image recognition case study)
Keras is a high level library used to build neural network models. This tutorial focuses on its application and ways to solve problems with neural networks.
Faizan Shaikh 06 Oct, 2025
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Exclusive Interview with Sr Data Scientist, Paytm – Rohan Rao (DataHack Summit – Workshop Speaker)
Rohan Rao shared insights about his journey, analytics career & his approach in Machine Learning competition. He shared techniques he uses in competitions.
Kunal Jain 13 Sep, 2017
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Winner’s Solution from the super competitive “The Ultimate Student Hunt”
Ultimate Student Hunt - a machine learning competition challenged students on real life machine learning problem & data science community
Kunal Jain 09 Oct, 2016
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Using PySpark to perform Transformations and Actions on RDD
In this article we will learn about spark transformations and actions on RDD. These include map, filter, groupby, sample, set, max, min, sum etc on RDDs.
Ankit Gupta 05 Jul, 2020
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Build Your Neural Network Using Tensorflow
Learn when to apply TensorFlow neural networks, solve neural network problems, understand image data, and compare TensorFlow with other libraries.
Faizan Shaikh 12 Jul, 2024
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Most Active Data Scientists, Free Books, Notebooks & Tutorials on Github
This article comprises of free books, ipython notebooks, tutorials on github. This is useful for beginners in machine learning, data science
Analytics Vidhya 10 Oct, 2016
