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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-using-python-starttech/
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课程名称：使用Python进行机器学习 课程概述：如果您在寻找一个完整的机器学习课程，以帮助您在数据科学和机器学习领域开启成功的职业生涯，那么您来对地方了！完成本课程后，您将能够自信地使用Python构建预测性机器学习模型，以解决商业问题和制定商业战略。同时，您也能够回答与机器学习相关的面试问题，并参与在线数据分析竞赛，比如Kaggle竞赛。 课程内容将覆盖多种机器学习模型，通过学习您将获得一份可验证的完成证书。如果您是企业经理、高管或希望学习并应用机器学习、Python及预测建模于现实商业问题的学生，本课程将为您打下扎实的基础，教授机器学习、Python和预测建模的最流行技术。 选择本课程的理由：课程涵盖了解决商业问题所需的所有步骤，强调在线分析前后的重要性，包括正确的数据准备和模型评估。课程由全球分析咨询公司的经理Abhishek和Pukhraj授课，他们在实际数据分析中积累了丰富的经验。 我们承诺：如果您对课程内容、机器学习、Python、预测建模或任何相关主题有任何问题，可以随时在课程中提问，或直接发送消息给我们。 课程特点：每节课都有附带课堂笔记，您可以通过测验检查对机器学习、Python和预测建模概念的理解。此外，每个部分都有实践作业，以帮助您将所学内容应用于实际。 常见问题解答：例如，什么是机器学习？机器学习是计算机科学的一个领域，使计算机具备学习能力而无需明确编程；以及建立机器学习模型所需遵循的步骤，包括统计和概率、机器学习概念、编程经验和模型理解等。 本课程将引导您踏上机器学习的学习之旅，是希望在数据科学领域发展的最佳选择。
You're looking for a complete Machine Learning course in Python that can help you launch a flourishing career in the field of Data Science and Machine Learning, right?You've found the right Machine Learning course!After completing this course, you will be able to:· Confidently build predictive Machine Learning models using Python to solve business problems and create business strategy· Answer Machine Learning related interview questions· Participate and perform in online Data Analytics competitions such as Kaggle competitionsCheck out the table of contents below to see what all Machine Learning models you are going to learn.How will this course help you?A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.If you are a business manager or an executive, or a student who wants to learn and apply machine learning, Python and predictive modelling in Real world problems of business, this course will give you a solid base for that by teaching you the most popular techniques of machine learning, Python and predictive modelling.Why should you choose this course?This course covers all the steps that one should take while solving a business problem through linear regression. This course will give you an in-depth understanding of machine learning and predictive modelling techniques using Python.Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques using R, Python, and we have used our experience to include the practical aspects of data analysis in this course.We are also the creators of some of the most popular online courses - with over 1 million enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, machine learning, Python, predictive modelling, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.Download Practice files, take Quizzes, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts of machine learning, Python and predictive modelling. Each section contains a practice assignment for you to practically implement your learning on machine learning, Python and predictive modelling.Below is a list of popular FAQs of students who want to start their Machine learning journey-What is Machine Learning?Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention.What are the steps I should follow to be able to build a Machine Learning model?You can divide your learning process into 3 parts:Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part.Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning modelProgramming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in PythonUnderstanding of models - Fifth and sixth section cover Classification models and with each theory lecture comes a corresponding practical lecture where we actually run each query with you.
