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使用Dask和Scikit-learn处理大数据集

本文介绍了如何在有限硬件条件下使用Dask进行可扩展的数据处理。Dask与Python框架无缝集成,适合处理大数据集。通过示例,展示了数据的加载、清理和准备过程,并结合scikit-learn进行机器学习建模,以优化内存使用和加速处理流程。

使用Dask和Scikit-learn处理大数据集

KDnuggets
KDnuggets · 2025-11-13T15:00:29Z
从数据集到数据框再到部署:使用Pandas和Scikit-learn的第一个项目

本文介绍了一个适合初学者的机器学习项目,构建回归模型预测员工收入。使用Pandas和Scikit-learn库处理缺失值、分割数据集、构建预处理管道,并训练随机森林回归模型,最后评估模型性能并保存训练好的模型。

从数据集到数据框再到部署:使用Pandas和Scikit-learn的第一个项目

KDnuggets
KDnuggets · 2025-11-07T13:00:24Z

Validating machine learning models requires careful testing on unseen data to ensure robust, unbiased estimates of their performance.

7 Scikit-learn Tricks for Optimized Cross-Validation

MachineLearningMastery.com
MachineLearningMastery.com · 2025-09-08T12:00:11Z

Perhaps one of the most underrated yet powerful features that scikit-learn has to offer, pipelines are a great ally for building effective and modular machine learning workflows.

5 Scikit-learn Pipeline Tricks to Supercharge Your Workflow

MachineLearningMastery.com
MachineLearningMastery.com · 2025-08-25T12:00:57Z

In this article, you will learn: • how Scikit-LLM integrates large language models like OpenAI's GPT with the Scikit-learn framework for text analysis.

Zero-Shot and Few-Shot Classification with Scikit-LLM

MachineLearningMastery.com
MachineLearningMastery.com · 2025-07-22T12:00:07Z

Large language model embeddings, or LLM embeddings, are a powerful approach to capturing semantically rich information in text and utilizing it to leverage other machine learning models — like...

Feature Engineering with LLM Embeddings: Enhancing Scikit-learn Models

MachineLearningMastery.com
MachineLearningMastery.com · 2025-07-17T12:00:17Z

Ever felt like trying to find a needle in a haystack? That’s part of the process of building and optimizing machine learning models, particularly complex ones like ensembles and neural networks,...

Beyond GridSearchCV: Advanced Hyperparameter Tuning Strategies for Scikit-learn Models

MachineLearningMastery.com
MachineLearningMastery.com · 2025-06-20T14:08:55Z

Machine learning workflows often involve a delicate balance: you want models that perform exceptionally well, but you also need to understand and explain their predictions.

How to Combine Scikit-learn, CatBoost, and SHAP for Explainable Tree Models

MachineLearningMastery.com
MachineLearningMastery.com · 2025-06-16T12:00:01Z

Pandas , NumPy , and Scikit-learn .

Advanced Feature Engineering Using Scikit-Learn Pipelines with Pandas’ ColumnTransformer and NumPy Arrays

MachineLearningMastery.com
MachineLearningMastery.com · 2025-06-13T12:00:25Z

Imbalanced datasets, where a majority of the data samples belong to one class and the remaining minority belong to others, are not that rare.

Navigating Imbalanced Datasets with Pandas and Scikit-learn

MachineLearningMastery.com
MachineLearningMastery.com · 2025-06-12T12:00:56Z

Missing values appear more often than not in many real-world datasets.

Dealing with Missing Data Strategically: Advanced Imputation Techniques in Pandas and Scikit-learn

MachineLearningMastery.com
MachineLearningMastery.com · 2025-06-06T12:00:05Z

Machine learning workflows require several distinct steps — from loading and preparing data to creating and evaluating models.

How to Combine Pandas, NumPy, and Scikit-learn Seamlessly

MachineLearningMastery.com
MachineLearningMastery.com · 2025-05-12T17:20:26Z
如何开始使用Scikit-Learn:Python中适合初学者的机器学习指南

Scikit-Learn是Python的主要机器学习库,提供分类、回归和聚类等工具,适合初学者和开发者。它开源、易用,支持数据预处理和模型选择,广泛应用于各行业。

如何开始使用Scikit-Learn:Python中适合初学者的机器学习指南

DEV Community
DEV Community · 2025-04-24T12:53:33Z

Optuna is a machine learning framework specifically designed for automating hyperparameter optimization , that is, finding an externally fixed setting of machine learning model hyperparameters...

How to Perform Scikit-learn Hyperparameter Optimization with Optuna

MachineLearningMastery.com
MachineLearningMastery.com · 2025-04-09T13:00:55Z
Python中的机器学习:Scikit-Learn初学者指南

机器学习是现代技术的基础,Python因其简洁和丰富的库而成为首选语言。Scikit-Learn是一个强大且易用的Python库,适合构建机器学习模型。本文介绍了Scikit-Learn的基本概念、环境设置、数据处理、模型构建与评估,旨在帮助初学者快速入门。

Python中的机器学习:Scikit-Learn初学者指南

DEV Community
DEV Community · 2025-03-20T06:42:53Z

For many people studying data science,

6 Lesser-Known Scikit-Learn Features That Will Save You Time

MachineLearningMastery.com
MachineLearningMastery.com · 2025-03-19T11:00:22Z

Stop writing extra code — these 10 one-liners will take care of 80% of your Scikit-Learn tasks!

10 Python One-Liners for Scikit-learn

KDnuggets
KDnuggets · 2025-03-05T15:00:04Z
你是数据分析师还是有志成为数据分析师?这里有7个必知的Python库,帮助你像专业人士一样清理、分析、可视化和建模数据!从用于数据处理的Pandas到用于机器学习的Scikit-learn

抱歉,您提供的文本没有具体的文章内容。请提供详细信息,我将为您总结。

你是数据分析师还是有志成为数据分析师?这里有7个必知的Python库,帮助你像专业人士一样清理、分析、可视化和建模数据!从用于数据处理的Pandas到用于机器学习的Scikit-learn

DEV Community
DEV Community · 2025-02-07T08:45:11Z

Keep your ML workflow organized! Pipelines are like a checklist you don’t have to keep track of—Scikit-Learn handles it all for you.

How to Set Up Your First Machine Learning Pipeline Using Scikit-Learn

KDnuggets
KDnuggets · 2024-12-10T17:00:46Z
我如何在数据科学项目中使用Scikit-Learn

本文介绍了如何在数据科学项目中使用scikit-learn库。scikit-learn是一个开源机器学习库,提供多种算法和数据预处理工具,使用简单。以鸢尾花数据集为例,展示了数据加载、分割、预处理、模型训练和评估的完整流程,强调了其在分类和回归任务中的高效性。

我如何在数据科学项目中使用Scikit-Learn

DEV Community
DEV Community · 2024-11-04T09:02:07Z
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