India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
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.
Complete guide to Time series forecasting in python and R. Learn Time series forecasting by checking stationarity, dickey-fuller test and ARIMA models.
Explore Ridge and Lasso Regression, their mathematical principles & practical applications in Python to enhance regression skills. Read Now!
XGBoost is an efficient gradient boosting framework. Say goodbye to lengthy feature engineering as XGBoost in R takes new heights!
This infographic shows a list of most popular tv series on data science, technology, artificial intelligence revealing technology & future
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