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所在平台: Udemy |
课程主页: https://www.udemy.com/course/natural-language-processing-real-world-projects-in-python/
课程评论:没有评论
课程名称:Python中的自然语言处理实战项目 课程概述: 您是否希望在数据科学、人工智能和自然语言处理领域获得一份高薪工作?或者您是一位希望提升职业生涯的资深AI从业者?亦或是一位渴望获得数据科学和人工智能实践经验的初学者?如果您的回答是肯定的,那么这门课程正适合您!数据科学是当今最热门的技术领域之一,发展迅猛,职业前景广阔,广泛应用于银行、医疗、航空、物流和科技等多个行业。课程旨在以实用、简单且有趣的方式教授数据科学在商业中的关键应用。 课程内容: 1. 任务一:预测客户情感 - 开发一个AI模型来预测亚马逊客户的情感。 2. 任务二:预测未来股票价格 - 开发NLP模型以预测未来股票价格。 3. 任务三:预测密码强度 - 预测密码的类别,包括强密码、好密码和弱密码。 课程亮点: - 通过真实数据和实际问题来讲解项目,避免使用玩具数据。 - 是成为数据科学家、AI工程师、机器学习工程师或NLP工程师的最简单有效途径。 - 从导入混乱的数据、数据清理、合并和连接数据、分组和聚合数据,到进行探索性数据分析,以及为统计、机器学习、NLP和时间序列做好数据准备和处理。 - 实战项目中,编码与业务思维同样重要。这是唯一一门兼顾深入Python编程和全面思考的课程,让学员学会如何得出结论。 保证满意:如果您不满意,可以享受30天的退款保证。 加入这个课程,开启您的数据科学和人工智能之旅吧!
Are you looking to land a top-paying job in Data Science , AI & Natural Language Processing?Or 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 technology.In business, Data Science is applied to optimize business processes, maximize revenue and reduce cost. 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 Customer Sentiments : Develop an AI model to predict Customer Sentiments of Amazon..3.Task #2 @Predict future Stock Prices: Develop NLP models to predict future Stock prices.2.Task #3 @Predict the strength of a Password: Predict the category of Password whether it is Strong, Good or Weak.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 Engineer/NLP 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.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.