data-science
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Getting Started with TensorFlow.js
TensorFlow.js is an open-source library developed by Google that allows you to build and deploy machine learning models right in…
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Understanding the Importance of Features in Decision Trees using Scikit-learn in Python for Machine Learning with Codegnan
Feature importance is a crucial concept in machine learning, as it helps to identify which features or variables have the…
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Scikit-learn Tutorial: Generalized Linear Regression for Supervised Learning
In this tutorial, we will discuss Generalized Linear Regression, which is a powerful method of supervised learning used in machine…
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Creation Song of PyTorch Tensors
In PyTorch, tensors are the fundamental data structure used for storing and manipulating data in neural networks. Tensors are similar…
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Getting Started with Keras: An introduction to using Keras for beginners
Keras is a popular open-source deep learning library, written in Python and capable of running on top of other deep…
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Post-pruning decision trees – Python / Scikit-learn
L’élagage des arbres de décision est une technique essentielle pour améliorer la performance et la généralisation des modèles d’arbres de…
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Using pandas and scikit-learn to generate Kaggle submissions
In this tutorial, I will guide you through using pandas with scikit-learn to create Kaggle submissions. Kaggle is a popular…
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Machine Learning Frameworks | TensorFlow, Pytorch, Keras
Machine Learning frameworks are essential tools for building and training machine learning models. These frameworks provide developers with the necessary…
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Understanding Intersection over Union (IoU) using Pytorch
Intersection over Union (IoU) is a popular evaluation metric used in the field of object detection and image segmentation to…
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Como Realizar Regressão Linear usando Statsmodels e Scikit-learn em Python
A regressão linear é uma técnica estatística usada para entender a relação entre uma variável dependente e uma ou mais…
