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Investigation on handling Structured & Imbalanced Datasets with Deep Learning
A practical guide on handling structured and imbalanced datasets with deep learning. Learn deep learning experiments with KDD cup 1999 & MNIST datasets.
Guest Blog 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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Comprehensive Introduction to Apache Spark, RDDs & Dataframes (using PySpark)
This article provides a comprehensive introduction to Apache Spark, its benefits, APIs, RDDs, Dataframes & solves a machine learning problem
Ankit Gupta 15 Oct, 2016
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Full Solution – Skilltest on R for Data Science
This article contains solutions to all question from skilltest in R for data science. The test is designed to help people evaluate their skill
Kunal Jain 05 May, 2017
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Using Platt Scaling and Isotonic Regression to Minimize LogLoss Error in R
This tutorial explains using isotonic regression and platt scaling to calibrate predicted probabilities to improve logloss error in data set
NSS 07 Jul, 2016
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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
