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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-machine-learning-2021-with-10-real-world-projects/
课程评论：没有评论
课程名称：2025 完整机器学习A-Z：10个真实项目 课程概述：数据科学家在Glassdoor上被评选为最佳职业，平均年薪超过120,000美元（根据Indeed的数据）。数据科学是一项回报丰厚的职业，它能让你解决一些世界上最有趣的问题！本课程旨在为有一定编程经验的初学者或希望转向数据科学的经验丰富的开发者提供所需知识。本课程是你职业道路的终极目的地，汇集了所有你需要的知识、技巧和窍门。 课程内容包括： - 人工智能、机器学习、深度学习和神经网络之间的比较 - 数据科学的定义及其必要性 - 机器学习的需求和自然语言处理（NLP）入门 - 监督学习与非监督学习的不同类型 - 从初学者水平开始的Python实际操作学习，使得非程序员也能轻松入门数据科学 - 机器学习生命周期中所需的所有重要库 - 完整的统计学课程，覆盖所有相关内容，免去额外学习的需求 - 数据清理和探索性数据分析，提供真实的技巧和窍门，使你在初学者中脱颖而出 - 使用简单易懂的语言讲解复杂机器学习算法背后的数学原理，便于未来的理解和应用 - 在超过20个不同数据集上进行实践，快速入门并掌握在不同数据集和问题上的应用 - 超过20个作业和评估，实时评估和提高自己的技能 - 10个从初级到高级水平的项目，用于测试和锻炼你的技能 无论你是初学者还是希望提升数据科学技能的开发者，这门课程都会为你提供全面的学习体验。
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!This course is made to give you all the required knowledge at the beginning of your journey, so that you don't have to go back and look at the topics again at any other place. This course is the ultimate destination with all the knowledge, tips and trick you would require to start your career.It gives detailed guide on the Data science process involved and Machine Learning algorithms. All the algorithms are covered in detail so that the learner gains good understanding of the concepts. Although Machine Learning involves use of pre-developed algorithms one needs to have a clear understanding of what goes behind the scene to actually convert a good model to a great model.Our exotic journey will include the concepts of:Comparison between Artificial intelligence, Machine Learning, Deep Learning and Neural Network.What is data science and its need.The need for machine Learning and introduction to NLP (Natural Language Processing).The different types of Machine Learning - Supervised and Unsupervised Learning.Hands-on learning of Python from beginner level so that even a non-programmer can begin the journey of Data science with ease.All the important libraries you would need to work on Machine learning lifecycle.Full-fledged course on Statistics so that you don't have to take another course for statistics, we cover it all.Data cleaning and exploratory Data analysis with all the real life tips and tricks to give you an edge from someone who has just the introductory knowledge which is usually not provided in a beginner course.All the mathematics behind the complex Machine learning algorithms provided in a simple language to make it easy to understand and work on in future.Hands-on practice on more than 20 different Datasets to give you a quick start and learning advantage of working on different datasets and problems.More that 20 assignments and assessments allow you to evaluate and improve yourself on the go.Total 10 beginner to Advance level projects so that you can test your skills.
