Remove Cross Validation Remove Data Mining Remove Decision Trees Remove ML
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List of Python Libraries for Data Science

Pickl AI

Scikit-Learn Scikit Learn is associated with NumPy and SciPy and is one of the best libraries helpful for working with complex data. Its modified feature includes the cross-validation that allowing it to use more than one metric. It is clear that implementation of this library for ML dimension.

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Data processing does the task of exploring the data, mining it, and analyzing it which can be finally used to generate the summary of the insights extracted from the data.

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How to Choose MLOps Tools: In-Depth Guide for 2024

DagsHub

A traditional machine learning (ML) pipeline is a collection of various stages that include data collection, data preparation, model training and evaluation, hyperparameter tuning (if needed), model deployment and scaling, monitoring, security and compliance, and CI/CD. What is MLOps?

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From prediction to prevention: Machines’ struggle to save our hearts

Dataconomy

The time has come for us to treat ML and AI algorithms as more than simple trends. Several data mining and neural network techniques have been employed to gauge the severity of heart disease but the prediction of it is a different subject. The decision tree algorithm used to select features is called the C4.5