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Tutorial on 5 Powerful R Packages used for imputing missing values
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.
Analytics Vidhya 05 Jul, 2020
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XGBoost Parameters Tuning
Explore XGBoost parameters and hyperparameter tuning like learning rate, depth of trees, regularization, etc. to improve model accuracy.
Aarshay Jain 03 Dec, 2025
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Guide to Build Better Predictive Models using Segmentation
A perfect guideline for doing optimal segmentation for model development. In this article learn about building predictive models using segmentation.
Guest Blog 05 Jul, 2020
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Complete Machine Learning Guide to Parameter Tuning in Gradient Boosting (GBM) in Python
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.
Aarshay Jain 04 Apr, 2025
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Top 12 Books For Data Science to Read in 2026
Master data science & get hired at Google & Amazon. With books for data science, understand the predictive models statistically.
Analytics Vidhya 27 Dec, 2025
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Approach and Solution to break in Top 20 of Big Mart Sales prediction
Solution to Big Mart sales problem - includes hypothesis, data exploration, feature engineering & regression, decision tree / random forest model
Aarshay Jain 29 Oct, 2024
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Step by step guide to building sentiment analysis model using graphlab
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.
Tavish Srivastava 03 Dec, 2018
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What I learnt about Time Series Analysis in 3 hour Mini DataHack?
I learnt a lot about time series analysis by participating in AV Mini DataHack. I share my learnings from the competition.
Aarshay Jain 02 Aug, 2019
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A Comprehensive Beginner’s Guide to Creating a Time Series Forecast (With Codes in Python and R)
Complete guide to Time series forecasting in python and R. Learn Time series forecasting by checking stationarity, dickey-fuller test and ARIMA models.
Aarshay Jain 14 Oct, 2024
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Ridge and Lasso Regression in Python
Explore Ridge and Lasso Regression, their mathematical principles & practical applications in Python to enhance regression skills. Read Now!
Aarshay Jain 01 May, 2025
