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What are the strontio numbers in Java?

In this blog, we will learn about strontio numbers and methods of strontio numbers in Java with the help of examples. Among the various and unique numerologies in mathematics, the strontio number stands out with its unique and captivating property. Let’s see what makes strontio numbers so special and uncover the hidden patterns they reveal. …

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Count special characters in a string in Python

Description: To count a special characters in a string in python, we can use a string method “Regular expression”. In this ‘re’ special characters can be defined all the non-alphanumeric characters in the string. Using Regular Expression:import redef count_special_characters(s): special_characters_pattern = r'[^a-zA-Z0-9\s]’ special_characters = re.findall(special_character_pattern, s) return len(special_characters)input_string = “Hi, hello, Welcome! to @1year”count = …

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Create an empty and a full NumPy array in Python

In this tutorial, we will explore how to create an empty and a full Numpy array in Python, accompanied by several practical examples. creating an empty NumPy array in python output: [[6.93167257e-310 6.93171505e-310 6.93167256e-310] [6.93167256e-310 6.93167256e-310 6.93167256e-310]] From the above code, the output that is generated are the random values that was allocated in the …

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Optimization of Modeling Pipeline Optimization with scikit-learn

Hello! We’re going to explore how to optimize a modeling pipeline using scikit-learn, one of the most popular machine-learning libraries in Python. Optimizing your pipeline can greatly enhance the performance of your models by automating the process of selecting the best parameters and improving the overall workflow. We will be using the famous Iris dataset, …

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Naive Bayes Classification using sklearn in Python

Hey there! Ready to explore the world of classification using machine learning? In this tutorial, we’ll learn how to use scikit-learn(sklearn) in Python to perform Navie Bayes classification. Naive Bayes is a simple yet effective algorithm, perfect for text classification. Let’s get started! Building a Naive Bayes Classification Model with sklearn Step 1: Setting up …

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