Introduction to Apache Spark

Apache Spark is an open-source big data processing framework that is designed to handle large-scale data processing and analytics. It is written in Scala and provides a unified API for…

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Applying machine learning algorithms

Machine learning algorithms are used to build models that can automatically learn from data and make predictions or decisions. These algorithms use statistical methods to find patterns and relationships in…

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Introduction to Pandas

Pandas is a popular open-source data analysis library for Python. It provides a powerful set of tools for working with structured data, such as tabular data in spreadsheets or databases.…

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Basic linear algebra with NumPy

NumPy provides a powerful set of linear algebra functions that can be used for a variety of data analysis tasks. Here are some basic linear algebra operations that can be…

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Overview of Python programming language

Python is a high-level, interpreted programming language that is widely used for a variety of tasks, including web development, data analysis, artificial intelligence, and scientific computing. It was first created…

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Defining and calling functions

def greet(name): print(f"Hello, {name}! How are you doing today?") greet("John") In this example, the greet() function is defined with a single parameter name. When the function is called with an…

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Parameters and Arguments

In programming, the terms "parameter" and "argument" are often used interchangeably, but they have slightly different meanings. A "parameter" is a variable defined in the function declaration. It's a way…

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