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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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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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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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A Comprehensive Guide to Data Exploration
This tutorial on data exploration comprises missing value imputation, outliers, feature engineering, and variable creation.
Sunil Ray 01 May, 2025
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8 Ways to Improve Accuracy of Machine Learning Models (Updated 2025)
Discover the 8 best ways to how to increase accuracy of machine learning model & achieve optimal results. Ready to optimize your ML journey!
Sunil Ray 02 May, 2025
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A Complete Tutorial on Time Series Modeling in R
Complete tutorial on time series analysis and time series modeling in R. It explains auto regression, moving average, dickey fuller test, random walk, etc.
Tavish Srivastava 02 May, 2025
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7 Important Ways to Summarise Data in R
Summarizing data in R is made simple by methods of data summarization like tapply, sqldf, apply to find mean, median and generate useful insights from data
Tavish Srivastava 26 Jun, 2020
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8 Ways to deal with Continuous Variables in Predictive Modeling
A complete tutorial on handling continuous variables using binning, transformation, factor analysis, outliers removal, date time values with R codes.
Analytics Vidhya 26 Jun, 2020
