machine learning
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Regularization with Ridge & Lasso Regression using Python and SciKit Learn
Introduction: Ridge and Lasso Regression are powerful techniques used in machine learning to prevent overfitting. Both techniques are forms of…
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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 estatÃstica usada para entender a relação entre uma variável dependente e uma ou mais…
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1- Python-based FastAPI web framework APIs
FastAPI is a modern web framework for building APIs with Python. It is built on top of Starlette for the…
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Unveiling Convolutional Neural Networks: ML Zero to Hero – Part 3
In this tutorial, we will be introducing convolutional neural networks (CNNs), which are a type of deep learning model commonly…
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PyTorch Tutorial 2: How to Install PyTorch on Windows 10 using Anaconda
In this tutorial, we will discuss how to install PyTorch on Windows 10 using Anaconda. PyTorch is an open-source machine…
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Contribution to scikit-learn: A Sample Pull Request by Reshama Shaikh
Contributing to open-source projects is a great way to learn and grow as a programmer. In this tutorial, we will…
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Fran̤ois Chollet РThe Evolution of Keras: Introducing Version 3
François Chollet is a well-known data scientist and the creator of Keras, a popular deep learning library written in Python….
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Master Machine Learning in 3 Months with PyTorch Curriculum
If you are looking to learn machine learning in a short amount of time, PyTorch can be a great starting…
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An Introduction to Keras and TensorFlow: Tutorial for Beginners – Intellipaat
In this tutorial, we will first understand what Keras and TensorFlow are, and then we will delve into how to…
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