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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-in-python-for-cryptocurrency-trading/
课程评论:没有评论
课程名称:用Python进行加密货币交易的机器学习 课程概述:本课程全面展示了如何构建一个时尚的网页应用程序,利用后台的机器学习预测任何加密货币的未来价格。课程包含了针对初学者的Python迷你速成课程,并深入探讨机器学习的理论和实践,以及其在加密货币预测建模中的应用。在课程结束时,学员将能够开发一个完整的网页应用程序,该应用程序能够接收来自互联网的免费数据。通过提供数据,后台的预测性机器学习模型将输出加密货币的未来价格。 课程内容包括网页应用的所有代码,并且只需对代码进行小幅调整,便可以使应用设定为预测任何加密货币的价格。建议预测期限不超过10到15天,以确保准确性。所有使用的工具、软件和数据均可免费下载并即时使用。 本课程通过三种流行算法构建机器学习模型,利用Python代码利用机器学习的预测能力,检测人类无法识别的数据模式。所有模型在部署前都会经过准确性评估。 希望学员能够构建出更大、更好、更高效和更有效的模型与网页应用,以便更加准确地预测加密货币的未来价格。
It is a comprehensive course that shows how you can build a stylish web app with machine learning at the backend to predict the future price of any cryptocurrency. The main course has a mini crash course on Python for newbies and culminates into the theory and practice of Machine Learning and its predictive modeling application on cryptocurrencies.At the end of this course, you will be able to develop a full-fledged web app that will take in data (available for free on the Internet). As you will provide the data to the web app, the web app having its predictive machine learning model at the backend will spit out the future prices of a cryptocurrency.The course includes all the code for the web app, and with a tiny tuning in the code, you can adjust the web app to predict the prices of any cryptocurrency. And for any number of days in the future (recommended not to proceed more than 10-15 days for accuracy).All the tools, software, and data used in the course can be downloaded for free and put to use instantly.This course builds Machine Learning models from three popular algorithms. With Python code taking advantage of the predictive nature of machine learning, that can detect patterns in data that humans are not capable of doing. All the models go through evaluation for their accuracy before deployment.I hope you will be able to build bigger, better, more efficient, and more effective models and web apps to predict cryptocurrency future prices with more accuracy.