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This is a solution of mini hack excel which involves solving a business problem using advanced excel, logical and structured thinking to solve
This is a tutorial on creating maps, scatter plots, bar plots, box plots, heat maps, area chart, correlogram using ggplot package in R
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.
Explore XGBoost parameters and hyperparameter tuning like learning rate, depth of trees, regularization, etc. to improve model accuracy.
A perfect guideline for doing optimal segmentation for model development. In this article learn about building predictive models using segmentation.
Take your GBM models to the next level with hyperparameter tuning. Find out how to optimize the bias-variance trade-off in gradient boosting algorithms.
Master data science & get hired at Google & Amazon. With books for data science, understand the predictive models statistically.
Solution to Big Mart sales problem - includes hypothesis, data exploration, feature engineering & regression, decision tree / random forest model
In this article text mining capability of Graphlab is exploited to solve one of the Kaggle problems, taking into consideration the sentiment of each phrase.
I learnt a lot about time series analysis by participating in AV Mini DataHack. I share my learnings from the competition.
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