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Analytical Concepts: Must Known For Every Professional & Fresher
This article explains 3 analytical concepts which includes descriptive, predictive and prescriptive analytics for analytics professionals
Guest Blog 27 Feb, 2024
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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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Power of Bayesian Statistics & Probability | Data Analysis (Updated 2025)
Learn how Bayesian Statistics can help you solve business problems with data analysis. Enhance your skills in machine learning & data science
NSS 05 Dec, 2024
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Quick Guide to Build a Recommendation Engine in Python & R
Building recommendation engines in python and R, learn building one using graphlab library in the field of data science and machine learning.
Aarshay Jain 25 Oct, 2024
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Solve Interview Case Studies 10x Faster Using Dynamic Programming
This article explains using dynamic programming technique to solve business analytics case studies using structured thinking in analytics
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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Case Study For Freshers (Level : Medium) – Call Center Optimization
The is a operational analytics case study for freshers in interview which requires logical understanding, maths and skills in Excel and R
Tavish Srivastava 27 Feb, 2019
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Practical Guide to Deal with Imbalanced Classification Problems in R
Learn about the challenges of imbalanced classification in R and how it can affect the accuracy of machine learning algorithms. Read Now!
Analytics Vidhya 04 Nov, 2024
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How to perform feature selection (i.e. pick important variables) using Boruta Package in R ?
Boruta package is a wrapper algorithm around random forest for important variables and used to perform feature selection in R for data science.
Guest Blog 26 Aug, 2021
