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TensorFlow Serving on Amazon SageMaker: A Guide

As a data scientist or software engineer, you know that deploying machine learning models can be a challenging task. From selecting the …

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What Is 'random_state' in sklearn.model_selection.train_test_split Example?

As a data scientist or software engineer, you're probably familiar with the concept of training and testing your data to validate the …

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What Is Cost Function in Neural Network?

In this blog, we will learn about the frequently encountered terms 'cost function' or 'loss function' for data scientists and software …

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What is ModuleNotFoundError: No module named 'sklearn.preprocessing._data' and How to Fix It

If you're a data scientist or software engineer who works with Python, chances are you've come across the dreaded 'ModuleNotFoundError' …

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What Is Sklearn PCA Explained Variance and Explained Variance Ratio Difference?

If you’re a data scientist or software engineer, you’ve probably heard of PCA, or Principal Component Analysis. PCA is a widely used …

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What is the Difference between TensorFlow and TensorFlow.js?

In this blog, we will learn about TensorFlow.js, an intriguing extension of the renowned open-source machine learning library …

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What Is the Fit Method in Python's Scikit-Learn?

As a data scientist or software engineer, you're likely already familiar with Python's Scikit-Learn library. It's a powerful tool for …

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Where to Add Dropout in Neural Network?

In this blog, we will learn about the concept of 'dropout' in the context of neural networks, a crucial term familiar to data …

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