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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-real-world-use-cases-hands-on-python/
课程评论：没有评论
课程名称：数据科学现实案例研究 - 实用Python 课程概述：您是否希望在数据科学领域获得高薪工作？您是否是一位希望提升职业生涯的资深人工智能从业者？或者您是一位希望获得实战经验的准数据科学家？如果答案是肯定的，那么本课程正适合您！数据科学是当前最热门的科技领域之一，广泛应用于诸如银行、医疗、航空、物流和科技等多个行业。 本课程旨在以实用、有趣和易于理解的方式，向您介绍数据科学在商业应用中的关键方面。通过使用真实世界的数据集，学生将获得实践经验，完成以下任务： 1. 任务 #1：预测Zomato餐厅的成功与否：开发机器学习模型，预测餐厅是否能够成功。 2. 任务 #2：判断新闻的真实性：利用多种自然语言处理（NLP）技术，开发模型预测特定新闻是否为假新闻。 3. 任务 #3：预测产品销售情况：开发时间序列预测模型，以预测产品销售量。 为什么要参加此课程？ - 该课程基于真实数据和现实世界的问题，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。 - 课程内容涵盖项目生命周期，导入混杂数据、清洗数据、合并与连接数据、分组与聚合数据、探索性数据分析，直至数据的统计、机器学习、NLP和时间序列准备和处理，以及数据展示。 - 提供了丰富的实践机会，强调在真实项目中编码与业务思维的重要性，独特地结合深入的Python编程与宏观思维，如如何得出结论。 保证满意：如不满意，提供30天退款保证。
Are you looking to land a top-paying job in Data ScienceOr are you a seasoned AI practitioner who want to take your career to the next level?Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence ?If the answer is yes to any of these questions, then this course is for you!Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technologyThe 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 datasets1.Task #1:: Predict Success of a Zomato Restaurant: Develop an Machine Learning model to predict whether Restaurant can be success or not2.Task #2:: Predict whether News is Fake or not: Develop a Machine Learning Model that can predict whether particular news is fake or not by applying several NLP (Natural Language Processing) Techniques3.Task #3:: Predict sales of a Product: Develop time series forecasting models to predict sales of a product..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 Understanding Life-Cycle of Project , 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.
