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所在平台: Udemy |
课程主页: https://www.udemy.com/course/applied-machine-learning-real-world-projects-using-python/
课程评论：没有评论
课程名称：真实世界案例研究的机器学习实践教程 课程概述：数据科学与机器学习是当前最热门的技术领域之一，充满了机会与职业前景。机器学习广泛应用于银行、医疗科技等多个行业。本课程的目的是以实用、有趣的方式，向学员介绍数据科学在商业中的关键应用。课程提供使用真实数据集的实践经验。 课程内容包括： 1. 任务一：预测应用评分 - 开发一个机器学习模型来预测Play商店应用程序的评分。 2. 任务二：预测公寓租金 - 使用机器学习回归算法来预测公寓的租金。 3. 任务三：预测超市销售 - 开发一个机器学习模型来预测超市的销售额。 选择本课程的理由： - 该课程使用真实数据和现实问题进行项目讲解，避免使用玩具数据。 - 是成为数据科学家、AI工程师或机器学习工程师的最佳途径。 - 课程涵盖从导入杂乱数据、数据清洗、合并与连接数据、分组与聚合数据、探索性数据分析，到为统计、机器学习、自然语言处理与时间序列数据做准备及展示数据的完整流程。 - 提供大量实践机会，鼓励动手编码，注重实际项目的编码与商业视角。 适合人群： - 希望在真实世界案例研究中应用知识的数据科学家。 - 想获得更多实践作业的数据分析师。 - 希望为个人项目集增加更多项目的机器学习爱好者。 课程还提供30天无条件退款保证，确保学员满意。
"Data Science and Machine Learning are one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. It is widely used in several sectors nowadays such as banking, healthcare technology etc..As there are tonnes of courses on Machine Learning already available over Internet , this is not One of them..The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.1.Task #1 @Predict Ratings of Application: Develop an Machine Learning model to predict Ratings of Play-store applications.2.Task #2 @Predict Rent of an apartment: Predict the Rent of an apartment using machine learning Regression algorithms..3.Task #3 @Predict Sales of a Super-market: Develop an Machine Learning model to predict sales of a Super-Market..Why should you take this Course?It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML EngineerIt shows and explains the full real-world Data. Starting with importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation.It gives you plenty of opportunities to practice and code on your own. Learning by doing.In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusionGuaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee.Who this course is for:Data Scientists who want to apply their knowledge on Real World Case StudiesData Analyst who want to get more Practical Assignments..Machine Learning Enthusiasts who look to add more projects to their Portfolio
