10最好的Scikit-learn教程推荐

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特写 iPhone,显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 Scikit-learn 技能并获得 Scikit-learn 证书。

在这篇博客文章中,我们的专家汇总了 10 个精选列表 最好的 Scikit-learn 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容!

10最好的Scikit-learn教程推荐

1. Machine Learning with SciKit-Learn with Python 经过 Exam Turf Udemy课程 我们的最佳选择

Get a practical understanding of the Scikit-Learn library and learn the ML implementation

截至目前,超过 27635+ 人们已经注册了这门课程,而且已经结束了 107+ 评论.

课程内容
Introduction
NumPy
NumPy Array
Indexing Arrays of Arrays
Matlplotlib
Pandas
Scikit Learn
Learning and Predicting
Cross Validation
Movie Review Analysis

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2. Introduction to ML Classification Models using scikit-learn 经过 Loony Corn Udemy课程

An overview of Machine Learning with hands-on implementation of classification models using Python’s scikit-learn

截至目前,超过 735+ 人们已经注册了这门课程,而且已经结束了 31+ 评论.

课程内容
Introduction
What is ML?
Support Vector Machines (SVMs)
Decision Trees
Overfitting – the Bane of Machine Learning
Ensemble Learning and Random Forests

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3. Machine learning with Scikit-learn 经过 Francisco Juretig Udemy课程

Learn the most important machine learning techniques using the best machine learning library available

截至目前,超过 590+ 人们已经注册了这门课程,而且已经结束了 86+ 评论.

课程内容
Introduction to Scikit-learn
Supervised methods
Unsupervised methods

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4. SciKit-Learn in Python for Machine Learning Engineers 经过 Mike West Udemy课程

The Fourth Course in a Series for Mastering Python for Machine Learning Engineers

截至目前,超过 359+ 人们已经注册了这门课程,而且已经结束了 47+ 评论.

课程内容
Introduction
Linear Regression
Feature Extraction and Preprocessing
Natural Language Processing
Nonlinear Classification
K-Means Clustering

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5. Advanced Predictive Techniques with Scikit-Learn& TensorFlow 经过 Packt Publishing Udemy课程

“Improve the performance predictive models, build more complex models and use techniques to improve quality of your predi”

截至目前,超过 134+ 人们已经注册了这门课程,而且已经结束了 16+ 评论.

课程内容
Ensemble Methods for Regression and Classification
Cross-Validation and Parameter Tuning
Working with Features
Introduction to Artificial Neural Networks and TensorFlow
Predictive Analytics with TensorFlow and Deep Neural Networks

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6. An Introduction to Scikit-Learn 经过 Dhruva Krishna Udemy课程

“Your one stop shop for getting familiar with Scikit-Learn, one of the most important modelling packages in Python.”

截至目前,超过 40+ 人们已经注册了这门课程,而且已经结束了 12+ 评论.

课程内容
Introduction
Preprocessing
Regression
Classification
Regression & Classification
Clustering
Model Selection and Evaluation
Final Thoughts

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7. Machine Learning with Scikit-Learn in 7 Hours 经过 Packt Publishing Udemy课程

Machine Learning in practice with Python’s scikit-learn on real-world datasets!

截至目前,超过 40+ 人们已经注册了这门课程,而且已经结束了 4+ 评论.

课程内容
Fundamentals of Machine Learning with scikit-learn
Learn Machine Learning in 3 Hours
Real-World Machine Learning Projects with Scikit-Learn

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8. scikit-learn Recipes 经过 Packt Publishing Udemy课程

Practical recipes for powerful data analysis with scikit-learn

截至目前,超过 33+ 人们已经注册了这门课程,而且已经结束了 3+ 评论.

课程内容
Data Pre-Processing with scikit-learn
Dimensionality Reduction
Linear Models
Support Vector Machines
Decision Trees and Ensembles
Clustering with scikit-learn
Cross-Validation
Neural Networks

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9. Step by step guide in mastering Scikit-Learn (2021) 经过 Chandramouli Jayendran Udemy课程

Data science & Machine learning – Scikit learn (SKLearn)- Supervised Learning explained step by step for beginners

截至目前,超过 29+ 人们已经注册了这门课程,而且已经结束了 2+ 评论.

课程内容
Introduction
Workflow of SKLearn Explained
Get Data Ready for Modelling
Choosing Estimator
Fitting and predicting in Scikit-Learn
Evaluation in SKLearn
Improving the Model – SKLearn
Saving the Model
Regression – All in one Model creation

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10. Achieve your first Machine Learning project in Python in 2h 经过 Damien Chambon Udemy课程

Learn quickly about the different steps of Machine Learning projects with Python for Data Science

截至目前,超过 21+ 人们已经注册了这门课程,而且已经结束了 2+ 评论.

课程内容
Introduction to Machine Learning
Prepare the workspace
Exploring the data
Preparing the data for the Machine Learning algorithms
Training your Machine Learning models
Communicating the results
Conclusion of the course

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下面是一些关于学习的常见问题Scikit-learn

学习Scikit-learn需要多长时间?

“学习Scikit-learn需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求,每个人都在不同的场景下工作,所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题:你想学习 Scikit-learn 是为了什么?你的出发点在哪里?您是初学者还是有使用 Scikit-learn 的经验?你能练习多少?每天1小时?每周40小时? 查看本课程关于 Scikit-learn.

Scikit-learn 学起来容易还是难?

不,学习 Scikit-learn 对大多数人来说并不难。检查这个 关于如何学习的课程 Scikit-learn 立刻!

如何快速学习Scikit-learn?

学习 Scikit-learn 最快的方法是先得到这个 Scikit-learn 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 Scikit-learn?

如果您想探索和学习 Scikit-learn,那么 Udemy 为您提供了学习 Scikit-learn 的最佳平台。查看此 关于如何学习的课程 Scikit-learn 立刻!