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My FreeBSD Installation on QEMU/KVM
A short introduction and virtual machine installation process of FreeBSD. Let’s click this article and create your own QEMU/KVM FreeBSD!
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GridSearchCV: The Key to Hyperparameter Tuning
A short and good definition of GridSearchCV, which can search for hyperparameters for the model training processes, with an example. Let’s read this short article and see what GridSearchCV can do!
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The Overfitting Trap 4: Parameters, Regularization, Ensembles
Some more overfitting-cutter techniques like different parameters, regularization techniques and ensemble methods. Let’s read it and learn more techniques to reduce the risk of overfitting problem!
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The Overfitting Trap 3: Feature Selection and Dimensional Reduction
In this post, we focus on avoiding overfitting through feature selection and dimensional reduction. Learn importance of these techniques and avoid overfitting.
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The Overfitting Trap 2: Increasing Data Diversity and Using More Data
The post discusses overfitting in machine learning and the solution of increasing data diversity. It introduces data augmentation as a technique to prevent overfitting and improve model generalization.
Mert Kont 