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Winning Solutions of DYD Competition – R and XGBoost Ruled
This article reveals the winning solutions of date your data competition. Winners used R, python and boosting algorithms to get winning scores
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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
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Tutorial on 5 Powerful R Packages used for imputing missing values
Learn about powerful R packages like amelia, missForest, hmisc, mi and mice used for imputing missing values in R for predictive modeling in data science.
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Top 12 Books For Data Science to Read in 2026
Master data science & get hired at Google & Amazon. With books for data science, understand the predictive models statistically.
Analytics Vidhya 27 Dec, 2025
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What I learnt about Time Series Analysis in 3 hour Mini DataHack?
I learnt a lot about time series analysis by participating in AV Mini DataHack. I share my learnings from the competition.
Aarshay Jain 02 Aug, 2019
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20 Powerful Images which perfectly captures the growth of Data Science
These images depict the growth story of data science and machine learning which includes self driving cars, robots, internet of things etc
Analytics Vidhya 19 Jan, 2016
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12 Useful Pandas Techniques in Python for Data Manipulation
Pandas is a widely used tool for data manipulation in python. Learn Pandas techniques and data manipulation with pandas in python like impute missing values
Aarshay Jain 29 Oct, 2024
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10 Machine Learning Algorithms Explained to an ‘Army Soldier’
Machine learning algorithms explained to a soldier in simple terms including supervised, unsupervised, reinforcement methods with examples
Analytics Vidhya 23 Jul, 2018
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7 Important Ways to Summarise Data in R
Summarizing data in R is made simple by methods of data summarization like tapply, sqldf, apply to find mean, median and generate useful insights from data
Tavish Srivastava 26 Jun, 2020
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Do Faster Data Manipulation using These 7 R Packages
A tutorial on faster Data Manipulation in R using these 7 packages which are dplyr, data.table, readr, lubridate,ggplot2,tidyr with examples
Analytics Vidhya 16 Feb, 2016
