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Winners of Mini DataHack (Time Series) – Approach, Codes and Solutions
This is the solution of mini datahack time series. The winners used xgboost, exponential smoothing time series and data exploration techniques
Analytics Vidhya 20 Sep, 2018
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9 Challenges on Data Merging and Subsetting in R & Python (for beginners)
This article explains merging, joining, sorting, subsetting of data frames, columns, rows using practice in R and Python with various examples
syed 06 Sep, 2019
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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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Use H2O and data.table to build models on large data sets in R
This article explains machine learning algorithms and data exploration, manipulation using data.table and h2o package including deep learning
Analytics Vidhya 26 Sep, 2016
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Winners Talk: Top 3 Solutions of The Seer’s Accuracy Competition
This article highlights the top 3 winning solutions from The seer's accuracy. The winners used xgboost, feature engineering and ensembled.
Analytics Vidhya 11 May, 2016 -
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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Tree Based Algorithms: A Complete Tutorial from Scratch (in R & Python)
Tutorial on tree based algorithms, which includes decision trees, random forest, ensemble methods and its implementation in R & python.
Himanshi Singh 01 May, 2025
