India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
This article presents the machine learning, data science startups from Y Combinator winter batch 2016. These startups use data and analytics
This article reveals the winning solutions of date your data competition. Winners used R, python and boosting algorithms to get winning scores
This is a complete solution of machine learning data mining competition Kaggle Telstra network disruption competition using xgboost ensemble
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.
Master data science & get hired at Google & Amazon. With books for data science, understand the predictive models statistically.
I learnt a lot about time series analysis by participating in AV Mini DataHack. I share my learnings from the competition.
These images depict the growth story of data science and machine learning which includes self driving cars, robots, internet of things etc
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
Machine learning algorithms explained to a soldier in simple terms including supervised, unsupervised, reinforcement methods with examples
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
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