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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-machine-learning/
课程评论：没有评论
课程名称：完整的机器学习与强化学习2023 课程概述：人类通过过去的经验学习，机器为何不能如此？如果“机器学习”这个词让你感到困惑，并且你想要掌握它，那么这个机器学习课程适合你。如果你想在机器学习领域开启职业生涯并从中获利，那么这个课程也是为你准备的。如果你想在学习之前掌握数学，然后再用Python进行编程，那么这个课程同样适合你。我们相信，机器学习已经成为人们热议的话题，数据无处不在，而我们需要利用这些数据并揭示其隐藏的秘密。由于人类的思维能力无法处理如此庞大的数据量，因此学习让机器来为我们完成这一任务就显得尤为重要。 本课程为你提供全面的机器学习知识，旨在帮助你掌握机器学习与数据科学，你不必再寻找其他资源，因为课程汇集了你学习旅程中所需的大部分知识。我们相信，脑海中保留的知识通常是那些有趣且适用的。因此，在SkyHub Academy中，我们将多年的经验通过有趣的方式浓缩成课程内容。 本课程结构如下： - 算法直观及其应用 - 数学基础 - 从零开始的Python编程 - 实践作业，帮助你深入理解机器学习 - 学习Python数据科学库，如Pandas、NumPy和Matplotlib - 学习Python机器学习库，如SK-Learn和Gym 课程内容基于对大型科技公司数据科学职位招聘需求的分析。我们将涵盖以下主题： - 简单线性回归 - 多元线性回归 - 多项式回归 - Lasso回归 - Ridge回归 - 逻辑回归 - K近邻算法（K-NN） - 支持向量机（SVM） - 核SVM - 朴素贝叶斯 - 决策树分类 - 随机森林分类 - 模型性能评估 - 层次聚类 - K均值聚类 - 主成分分析（PCA） - Pandas（处理数据的Python库） - Matplotlib（可视化数据的Python库） 注意：本课程会持续更新！新算法和作业将不断添加，以应对外部世界的各种问题，帮助你获得强大的算法工具库，而无需额外费用。此外，课程还包括可供下载的Python代码模板，方便你在自己的项目中使用。
Humans learn from past experience, so why not machine learn as well?Hello there,If the word 'Machine Learning' baffles your mind and you want to master it, then this Machine Learning course is for you.If you want to start your career in Machine Learning and make money from it, then this Machine Learning course is for you.If you want to learn how to manipulate things by learning the Math beforehand and then write a code with python, then this Machine Learning course is for you.If you get bored of the word 'this Machine Learning course is for you', then this Machine Learning course is for you.Well, machine learning is becoming a widely-used word on everybody's tongue, and this is reasonable as data is everywhere, and it needs something to get use of it and unleash its hidden secrets, and since humans' mental skills cannot withstand that amount of data, it comes the need to learn machines to do that for us.So we introduce to you the complete ML course that you need in order to get your hand on Machine Learning and Data Science, and you'll not have to go to other resources, as this ML course collects most of the knowledge that you'll need in your journey.We believe that the brain loves to keep the information that it finds funny and applicable, and that's what we're doing here in SkyHub Academy, we give you years of experience from our instructors that have been gathered in just one an interesting dose.Our course is structured as follows:An intuition of the algorithm and its applications.The mathematics that lies under the hood.Coding with python from scratch.Assignments to get your hand dirty with machine learning.Learn more about different Python Data science libraries like Pandas, NumPy & Matplotlib. Learn more about different Python Machine learning libraries like SK-Learn & Gym.The topics in this course come from an analysis of real requirements in data scientist job listings from the biggest tech employers. We'll cover the following: Simple Linear RegressionMultiple Linear RegressionPolynomial RegressionLasso RegressionRidge RegressionLogistic RegressionK-Nearest Neighbors (K-NN)Support Vector Machines (SVM)Kernel SVMNaive BayesDecision Tree ClassificationRandom Forest ClassificationEvaluating Models' PerformanceHierarchical ClusteringK-Means ClusteringPrinciple Component Analysis (PCA)Pandas (Python Library for Handling Data)Matplotlib (Python Library for Visualizing Data)Note: this course is continuously updated! So new algorithms and assignments are added in order to cope with the different problems from the outside world and to give you a huge arsenal of algorithms to deal with. Without any other expenses.And as a bonus, this course includes Python code templates which you can download and use on your own projects.
