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Learn R Programming For Data Science, data manipulation, machine learning, with our guide covering everything from installation to predictive modeling.
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.
This is a complete learning path for newbies and beginners to learn R basics, machine learning, data mining with best free online resources
Solution to Big Mart sales problem - includes hypothesis, data exploration, feature engineering & regression, decision tree / random forest model
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.
Learn how multinomial and ordinal logistic regression in R are used to deal with multi-level independent variables. Read Now!
Explore Ridge and Lasso Regression, their mathematical principles & practical applications in Python to enhance regression skills. Read Now!
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