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Solution to Big Mart sales problem - includes hypothesis, data exploration, feature engineering & regression, decision tree / random forest model
Here is a solution to kaggle competition what's cooking with a step wise explanation of data exploration, text mining, boosting, ensemble model
A framework to quickly build a predictive model using python in under 10 minutes & create a benchmark solution for data science competitions.
Knn algorithm is a supervised machine learning algorithm. In this article learn the concept of kNN in R and knn algorithm examples with case study.
This article is a solution to kaggle bike sharing demand prediction using Rstudio cover feature engineering and random forest modeling to improve performance.
This article explains the practical application of PageRank algorithm used by search engines to analyze packages in R with R commands like miniCran, pkgdep
Tutorial involving web scrapping, predictive modeling (classification) and text mining to solve Anaytics Vidhya Author identification challenge.
In this article, we will make a prediction for the 2014 FIFA winner using Twitter feeds on each of the shortlisted team using R analytics tool.
This article will make you understand how portfolio level analysis dictates you a to customize your mass media and theme of business.
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