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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-made-easy-beginner-to-expert-using-python/
课程评论：没有评论
课程名称：机器学习轻松入门：从初学者到专家，使用Python 课程概述： 想了解机器学习算法的工作原理，以及人们如何应用这些算法来解决数据科学问题吗？这个课程正适合你！课程由专业数据科学家创建、设计和组装，他们在这个领域拥有近十年的经验。我们将帮助你理解复杂的机器学习算法，同时将其应用于实际的商业和数据科学问题。课程将带你逐步深入数据科学和机器学习的领域，每个教程都将通过挑战你的能力来提升你的技能，并鼓励你在学习中不断改进。我们确保你在学习过程中会觉得有趣，课程结构经过反复验证，以保持你对接下来内容的兴趣。 课程内容： 第一部分 - Python编程入门。你将学习Python编程的基础，熟悉Python环境。掌握数据的导入、导出、探索、清洗和准备，为高级建模做准备。理解数据背后的统计学知识，以及如何报告和记录洞察。 第二部分 - 使用Python进行机器学习。学习、提升并掌握经典机器学习算法，如线性回归、逻辑回归和决策树。了解如何为特定问题选择合适的算法，构建多个模型，选择最佳模型并进行改进。进一步学习先进的机器学习算法，例如支持向量机（SVM）、人工神经网络、强化学习、随机森林和增强特征。 课程特点： - 包含实践实验室，帮助你进行学习和自我实践。 - 每个部分开始时提供Python源代码、数据集及其他支持材料，供你下载和使用。 - 每个部分后有测验，以测试你的学习效果。 - 额外提供5个与不同领域相关的真实数据项目，帮助你准备应对各种商业问题。这些项目将作为逐步指导，帮助你解决不同的业务和数据科学问题。 加入我们，开始你的机器学习旅程吧！
Want to know how Machine Learning algorithms work and how people apply it to solve data science problems? You are looking at right course! This course has been created, designed and assembled by professional Data Scientists who have worked in this field for nearly a decade. We can help you understand the complex machine learning algorithms while keeping you grounded to the implementation on real business and data science problems. We will let you feel the water and coach you to become a full swimmer in the realm of data science and Machine Learning. Every tutorial will increase your skill level by challenging your ability to foresee, yet letting you improve upon self. We are sure that you will have fun while learning from our tried and tested structure of course to keep you interested in what's coming next. Here is how the course is going to work: Part 1 - Introduction to Python Programming. This is the part where you will learn basic of python programming and familiarize yourself with Python environment. Be able to import, export, explore, clean and prepare the data for advance modeling. Understand the underlying statistics of data and how to report/document the insights. Part 2 - Machine Learning using Python Learn, upgrade and become expert on classic machine learning algorithms like Linear Regression, Logistic Regression and Decision Trees. Learn which algorithm to choose for specific problem, build multiple model, learn how to choose the best model and be able to improve upon it. Move on to advance machine learning algorithms like SVM, Artificial Neural Networks, Reinforced Learning, Random Forests and Boosting Features: Fully packed with LAB Sessions. One to learn from and one for you to do it yourself. Course includes Python source code, Datasets and other supporting material at the beginning of each section for you to download and use on your own.Quiz after each section to test your learning.Bonus: This course is packed with 5 projects on real data related to different domains to prepare you for wide variety of business problems.These projects will serve as your step by step guide to solve different business and data science problems.
