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Understanding basics of Recommendation Engines (with case study)
Recommendation engines also termed as recommendation systems. In this article learn about the basics and most common types of recommendation systems.
Shivam Bansal 26 Jun, 2020
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Building a Logistic Regression model from scratch
This article describes the basics of Logistic regression, the mathematics behind the logistic regression & how to build a logistic regression model in R.
Tavish Srivastava 26 Jun, 2020
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Build a Predictive Model in 10 Minutes (using Python)
A framework to quickly build a predictive model using python in under 10 minutes & create a benchmark solution for data science competitions.
Sunil Ray 01 May, 2025
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Perfect way to build a Predictive Model in less than 10 minutes
Learn how to build a predictive model. This article teaches ways to build predictive models by saving time during data modeling, data treatment analysis.
Tavish Srivastava 26 Jun, 2020
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Learn Gradient Boosting Algorithm for better predictions (with codes in R)
Gradient boosting is used for improving prediction accuracy. This tutorial explains the concept of gradient boosting algorithm in r with examples.
Tavish Srivastava 26 Jun, 2020
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Learn to use Forward Selection Techniques for Ensemble Modeling
This article explains the use of forward selection techniques in ensemble modeling using R programming with a careful attempt to avoid overfitting
Tavish Srivastava 26 Jun, 2020
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Kaggle Bike Sharing Demand Prediction – How I got in top 5 percentile of participants?
This article is a solution to kaggle bike sharing demand prediction using Rstudio cover feature engineering and random forest modeling to improve performance.
Sunil Ray 12 Jul, 2020
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Tuning the parameters of your Random Forest model
Learn why tuning machine learning algorithms is essential, explore Random Forests, their parameters and case studies for implementation.
Tavish Srivastava 02 May, 2025
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k-Fold Cross Validation made simple
This article introduces the science behind k-fold cross validation & its use in simple terms and explains its implementation in Python
Tavish Srivastava 16 Sep, 2015
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Getting smart with Machine Learning – AdaBoost and Gradient Boost
Boosting is a powerful tool in machine learning. Learn the commonly used boosting algorithms Ada Boost, Gradient Boost, Gentle Boost, Brown boost.
Tavish Srivastava 29 Oct, 2024
