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Exploring Recommendation System (with an implementation model in R)
This tutorial illustrates use of recommendation engines in the banking industry with practicals done in R. It also explains types of recommendation engines.
Tavish Srivastava 05 Jul, 2020
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Principal Component Analysis
Learn how Principal Component Analysis (PCA) can help you overcome challenges in data science projects with large, correlated datasets. Read Now!
Himanshi Singh 04 Apr, 2025
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Winning Solutions of DYD Competition – R and XGBoost Ruled
This article reveals the winning solutions of date your data competition. Winners used R, python and boosting algorithms to get winning scores
Analytics Vidhya 18 Mar, 2016
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Fundamentals of Deep Learning – Starting with Artificial Neural Network
This article explains artificial neural networks and fundamentals of deep learning. Learn about forward and backward propagation.
Aarshay Jain 14 Jun, 2023
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What did you miss ? Complete Solution of Mini Hack Excel
This is a solution of mini hack excel which involves solving a business problem using advanced excel, logical and structured thinking to solve
Analytics Vidhya 14 Mar, 2016
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10 Questions R Users always ask while using ggplot2 package
This is a tutorial on creating maps, scatter plots, bar plots, box plots, heat maps, area chart, correlogram using ggplot package in R
Analytics Vidhya 24 Jun, 2022
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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
