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…
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,…
Scikit-Learn supports both supervised and unsupervised learning, which are two of the main categories of machine learning. Supervised learning involves building a model to predict an output variable (also known…
Model selection and evaluation are essential components of machine learning. The goal of model selection is to find the best algorithm and hyperparameters that can achieve high accuracy on the…
Feature engineering and selection are essential steps in the process of building predictive models with machine learning. Feature engineering involves transforming raw data into features that can be used by…
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…
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…
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…
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.…
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…
