Interactive visualizations with Plotly

Plotly is a popular library for creating interactive visualizations in Python. Here's an example of how to create an interactive scatter plot using Plotly import plotly.graph_objs as go import pandas…

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Introduction to Scikit-Learn

Scikit-Learn (also known as sklearn) is a popular machine-learning library in Python. It provides a wide range of algorithms and tools for building machine learning models, including classification, regression, clustering,…

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Overview of Distributed Computing

Distributed computing refers to the practice of using a network of computers to work together to solve a common problem. The computers in the network are connected through a communication…

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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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