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Solving Case study : Optimize the Products Price for an Online Vendor (Level : Hard)
This analytics case study is meant to optimize the product price using business and analytics approach. Structured thinking is also required
Tavish Srivastava 26 Feb, 2019
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data.table() vs data.frame() – Learn to work on large data sets in R
R users struggle while dealing with large data sets. In this article learn about data.table and data. frame packages and handling large datasets in R.
Analytics Vidhya 05 Jul, 2020
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Queuing Theory: Definition, Applications and Examples
Queuing Theory analyzes waiting lines to predict queue lengths & wait times, optimizing systems in operations, retail, telecom & more.
Tavish Srivastava 18 Feb, 2025
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Practical Guide to implementing Neural Networks in Python (using Theano)
Theano is a programming language which runs on top of Python. This article explains deep learning with theano and how implementing neural networks in python.
Aarshay Jain 05 Jul, 2020
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Complete Solution: How I got in Top 11% of Kaggle Telstra Competition ?
This is a complete solution of machine learning data mining competition Kaggle Telstra network disruption competition using xgboost ensemble
Aarshay Jain 02 Aug, 2019
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Secrets from winners of our best ever Data Hackathon!
Winners reveal their approaches which includes using Python, R with Deep Learning, GBM, Recommender to build predictive model with least error
Kunal Jain 19 Dec, 2015
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The Machine Learning Times of Year 2015 – A Powerful Growth Story
A complete coverage of growth of machine learning in year 2015 where companies adapted this technology to improve and develop product & services
Analytics Vidhya 19 Dec, 2015
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3 Compelling reasons why you must compete in Data Hackathon 3.x
The reasons for you to start competing on our data hackathon platform
Kunal Jain 11 Dec, 2015
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Big Data / Analytics based startups at Y Combinator, Summer 2015 batch
Here is a list of Big Data, Data Science, Internet of Things (IoT) and Analytics based startups coming out of Y Combinator in Summer 2015
Kunal Jain 24 Aug, 2015
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Finding Optimal Weights of Ensemble Learner using Neural Network
This article explains the method to find optimal weight in ensemble model using a traditional approach and neural network implementation.
Tavish Srivastava 26 Jun, 2020
