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所在平台: Udemy |
课程主页: https://www.udemy.com/course/neural-networks-for-stock-price-prediction-and-sentiment/
课程评论：没有评论
**课程名称：** 神经网络用于情感和股票价格预测 **课程概述：** 本课程将带您深入探索Python数据科学，重点关注使用神经网络进行股票价格预测和客户情感分析。课程内容涵盖机器学习/人工智能基础、Python机器学习学习路径、迁移学习的概念及应用，以及如何构建情感分类算法和训练用于股票价格预测的神经网络。 在当今及未来的经济中，机器学习和人工智能将是驱动经济发展的核心力量。无论您的身份是企业家还是雇员，无论您身处哪个行业，机器学习（尤其是深度学习神经网络）都将成为您议程上的重要议题。 本课程强调“动手实践”的学习方式，将引导您完成从数据导入、数据预处理、使用Keras创建长短期记忆（LSTM）神经网络、训练神经网络到进行测试（即进行预测）的整个流程。 **课程结构：** * **第一部分：** 股票价格预测神经网络 * **第二部分：** Twitter推文情感分析神经网络 **课程目标：** * 学习Python数据科学和机器学习的基础知识。 * 理解神经网络在金融和自然语言处理领域的应用。 * 掌握使用Python和Keras构建、训练和评估神经网络的技能。 * 能够独立完成股票价格预测和情感分析项目。 **谁适合学习：** * 对数据科学、机器学习和人工智能感兴趣的初学者。 * 希望提升职业技能和就业机会的专业人士。 * 想要学习如何应用神经网络解决实际问题的开发者和分析师。
Let's dive into data science with python and predict stock prices and customer sentiment.machine learning / ai ? How to learn machine learning in python? And what is transfer learning ? How to use it ? How to create a sentiment classification algorithm in python? How to train a neural network for stock price prediction?Good questions here is a point to start searching for answersIn the world of today and especially tomorrow machine learning and artificial intelligence will be the driving force of the economy. Data science No matter who you are, an entrepreneur or an employee, and in which industry you are working in, machine learning (especially deep learning neural networks) will be on your agenda."From my personal experience I can tell you that companies will actively searching for you if you aquire some skills in the data science field. Diving into this topic can not only immensly improve your career opportunities but also your job satisfaction!"It's time to get your hands dirty and dive into one of the hottest topics on this planet.To me the best way to get exposure is to do it "Hands on". And that's exactly what we do. Together we will go through the whole process of data import, preprocess the data , creating an long short term neural network in keras (LSTM), training the neural network and test it (= make predictions)The course consists of 2 parts. In the first part we will create a neural network for stock price prediction. In the second part we create a neural network for sentiment analysis on twitter tweets.Let's get into it. See you in the first lecture
