data-science
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How to Load Image Data with PyTorch using ImageFolder
Loading Image Data with PyTorch using ImageFolder Loading Image Data with PyTorch using ImageFolder PyTorch is a popular open-source machine…
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Tutorial: Data Augmentation in TensorFlow for Beginners
Data Augmentation with TensorFlow Tutorial Data Augmentation with TensorFlow Tutorial Data augmentation is a technique used to artificially increase the…
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Understanding One-Hot Encoding: A Fast Overview
Quick explanation: One-hot encoding Quick explanation: One-hot encoding One-hot encoding is a technique used in machine learning and data preprocessing…
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TensorFlow Tutorial on Batch Normalization
Batch Normalization Tutorial Batch Normalization in TensorFlow Batch normalization is a technique used in neural networks to improve the training…
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Deep Learning with Keras at 5PM: Week 4, Day 2
5PM Deep Learning with Keras || Week 4 || Day 2 Welcome to 5PM Deep Learning with Keras On Week…
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Python Data Science Bootcamp [2024]: Transforming beginners into Data Scientists
Python Data Science Bootcamp [2024] – From Zero to Data Scientist Welcome to the Python Data Science Bootcamp [2024] Are…
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Utilizing XGBoost: A Guide to Employing a DMatrix in the scikit-learn Interface for Fitting Models
XGBoost: How to Use a DMatrix with scikit-learn Interface XGBoost: How to Use a DMatrix with scikit-learn Interface XGBoost is…
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The Ultimate Beginner’s Guide to Mastering PyTorch Tensors
Mastering PyTorch Tensors: The Ultimate Guide for Beginners Mastering PyTorch Tensors: The Ultimate Guide for Beginners PyTorch is a widely-used…
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Encoding Variables in Machine Learning
Variable Encoding in Machine Learning Variable Encoding in Machine Learning Variable encoding is a crucial step in the process of…
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Keras and Kaggle Integration: Getting Started with François Chollet
Introduction to the Keras + Kaggle Integration with François Chollet | Kaggle Introduction to the Keras + Kaggle Integration with…
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