shubham's notes

Category: Model Deep Dives

  • CatBoost- Inner Workings and Optimizations

    CatBoost- Inner Workings and Optimizations

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    by

    shubham ashok gandhi
    in

    Gradient boosting is a cornerstone technique for modeling tabular data due to its speed and simplicity. It delivers great results without any fuss. When you look around you’ll see multiple options like LightGBM, XGBoost, etc. CatBoost is one such variant. In this post, we will take a detailed look at this model, explore its inner…

  • SGD Classifier vs Logistic Regression

    SGD Classifier vs Logistic Regression

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    by

    shubham ashok gandhi
    in

    Among all the classifiers provided by Sklearn, two stand out for their similarities: SGDClassifier and LogisticRegression. So, what differentiates the two? In this post, we will explore the key differences and compare SGD Classifier vs Logistic Regression. Let’s start with the most important ones [/latexpage] Optimization Difference Logistic Regression uses solvers like lbfgs, saga, newton-cg…