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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-for-absolute-beginners-build-3-models/
课程评论：没有评论
课程名称：30分钟机器学习：快速实践 课程概述：本课程是针对初学者的全面机器学习入门。您将学习机器学习的基本概念，包括监督学习，并将在Python中构建和评估机器学习模型。 课程内容分为多个部分： 1. **机器学习的基础**：了解什么是机器学习，以及它是如何工作的。学习不同类型的机器学习算法及其应用。 2. **监督学习**：学习监督学习，这是通过一组标记数据训练算法，算法学习根据训练数据中的模式预测新数据的输出。 3. **无监督学习**：学习无监督学习，其算法在一组未标记的数据上进行训练，学习识别数据中的模式，而无需被告知模式。 4. **强化学习**：了解强化学习的基本概念及其应用。 5. **Python中的模型构建与评估**：学习如何使用流行的Python库（如NumPy、pandas和scikit-learn）构建和评估不同类型的机器学习模型。 通过本课程，您将对机器学习的基本知识有一个扎实的理解，并能够在Python中构建和评估机器学习模型。此外，您还将能够将机器学习应用于解决实际问题。课程将涵盖初学者机器学习的学习步骤、机器学习在真实世界中的应用，以及完成三个机器学习项目的实践经验。
This course is a comprehensive introduction to machine learning for beginners. You will learn the basics of machine learning, including supervised learning. You will also learn how to build and evaluate machine learning models in Python.In the first section of the course, you will learn what machine learning is and how it works. You will also learn about the different types of machine learning algorithms and their applications.In the second section of the course, you will learn about supervised learning. Supervised learning is a type of machine learning in which the algorithm is trained on a set of labeled data. The algorithm learns to predict the output for new data based on the patterns in the training data.In the third section of the course, you will learn about unsupervised learning. Unsupervised learning is a type of machine learning in which the algorithm is trained on a set of unlabeled data. The algorithm learns to identify patterns in the data without being told what the patterns are.In the fourth section of the course, you will learn about reinforcement learning.In the fifth section of the course, you will learn how to build and evaluate machine learning models in Python. You will learn how to use popular Python libraries such as NumPy, pandas, and scikit-learn to build and evaluate different types of machine learning models.By the end of this course, you will have a solid understanding of the basics of machine learning and you will be able to build and evaluate machine learning models in Python. You will also be able to apply machine learning to solve real-world problems.these are the main things will be explained in this course Machine Learning for BeginnersLearn Machine Learning Step-by-StepMachine Learning for Real-World ApplicationsIntroduction to Machine LearningSupervised Learning AlgorithmsMachine Learning for Medical DiagnosisMachine Learning for Financial TradingMachine Learning for the Future3 Machine Learning ProjectsMachine Learning Algorithms classification and regression How Machine Learning Works
