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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-machine-learning-and-deep-learning-with-python/
课程评论：没有评论
**课程名称：** 数据科学：Python机器学习与深度学习 **课程概述：** 本课程旨在深入学习数据科学、机器学习和深度学习的核心概念。课程从Python基础入手，为初学者提供快速入门教程，并附带练习题及解答。随后，课程将重点讲解数据科学领域的关键技术，包括使用Scrapy进行数据抓取、利用Python的多种库进行数据可视化，以及各种数据预处理技术。课程的亮点在于将通过一个综合性项目引导学员实践所学知识。 进入机器学习部分，学员将学习经典的和先进的机器学习算法，部分算法将从零开始实现，部分则利用Python内置库完成。每个算法学习结束后，都会有小型项目进行巩固。 最后，课程将深入探讨深度学习，介绍人工神经网络的基本结构，并使用TensorFlow进行实践。学员将完成一个深度学习项目，并通过学习超参数调优技术来优化模型性能。 **讲师介绍：** Sajjad Mustafa 先生是一位在Web编程、数据科学和机器学习领域拥有近三年经验的专家。他热衷于探索新技术，并擅长理解项目需求并提供创新的解决方案。他在Python、Ruby、JavaScript等语言方面造诣深厚，同时对Django、ReactJS、React Native、JQuery、HTML、CSS、Bootstrap、C、C++以及SQL（MySQL, mySQLite）等技术也充满热情。
This course focuses on the fundamentals of Data Science, Machine learning, and deep learning in the beginning and with the passage of time, the content and lectures become advanced and more practical. But before everything, the introduction of python is discussed. Python is one of the fastest-growing programming languages and if we specifically look from the perspective of Data Science, Machine learning and deep learning, there is no other choice then "python" as a programming language.First of all, there is a crash course on python for those who are not very good with python and then there is an exercise for python that is supposed to be solved by you but if you feel any difficulty in solving the exercise, the solution is also provided.Then we moved on towards the Data Science and we start from data parsing using Scrapy then the data visualizations by using several libraries of python and finally we end up learning different data preprocessing techniques. And in the end, there is a complete project that we'll do together.After that, we'll be learning a few classical and a few advanced machine learning algorithms. Some of them will be implemented from scratch and the others will be implemented by using the builtin libraries of python. At the end of every algorithm, there will be a mini-project.Finally, Deep learning will be discussed, the basic structure of an artificial neural network and it's the implementation in TensorFlow followed by a complete deep learning-based project. And in the end, some hyperparameter tuning techniques will be discussed that'll improve the performance of the model.About The Instructor:Below is an introduction to Mr. Sajjad Mustafa, the instructor of this course.He an expert in Web Programming, Data Science, and Machine Learning. He has been working on different topics including the above-mentioned ones for almost 3 years and has been teaching on these projects for more than a year. He has attained mastery over understanding the requirements and making a way to the most unique and proper solutions to the given task. He is well acquainted with and has deep knowledge of Python, Ruby, JavaScript. Django, ReactJS, React Native, JQuery, HTML, CSS, Bootstrap, C, C++, SQL (MySQL, mySQLite) are also my passion and interest. He is passionate about new technologies and likes to have a good professional connection. Let's meet with him on the course.
