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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-1-python-data-scientist-sentiment-analysis-more/
课程评论：没有评论
课程名称：《成为顶尖Python数据科学家：情感分析及更多》 课程概述：本课程旨在教会学员如何成为数据科学家，尤其是在机器学习的快速发展背景下，掌握这一技能对软件开发者来说愈加重要。无论您是经验丰富的开发者还是志向成为数据科学家的初学者，本课程都适合您。您将学习完整的Python知识，涵盖图像识别、数据分析、数据可视化等多个领域。 学员反馈： - Mary T. 评价:"这门课程使用了切合实际的例子，让我快速上手，非常喜欢这个课程！" - Gajendran C. 评论:"对于Python新人来说，这个课程非常简单易懂，能够轻松与之前的编程经验相结合！" - Paul B. 表示："信息清晰简洁。" - Alejandro M. 指出："理解起来非常容易，解释得很清楚，目前为止感觉很好！" 课程内容包括： 0. Python基础速成：通过项目示例学习Python，适合完全没有编程经验的人士，加速您的职业生涯。 1. 使用NumPy进行数据科学：构建使用NumPy的项目，该库是数据科学领域的热门工具。 2. 使用Pandas进行数据分析：建立基于Pandas的数据操作和分析项目。 3. 使用PyPlot进行数据可视化：通过PyPlot创建及装饰图表，展示数据分析结果。 4. 机器学习理论：了解机器学习的重要性及其应用，学习解决实际问题的方法。 5. TensorFlow入门：使用TensorFlow构建和部署机器学习应用，了解如何构建线性回归模型。 6. 构建情感分析模型：开发一个能够将评论分类为正面或负面的情感分析模型。 每个项目都包含源代码，适合所有水平的学习者。如果您今年只选择一门课程，那就报名参加这门课程吧！抓紧时间，名额有限。
Learn everything you need to become a data scientist. Machine learning is quickly becoming a required skill for every software developer. Enroll now to learn everything you need to know to get up to speed, whether you're a developer or aspiring data scientist. This is the course for you.Your complete Python course for image recognition, data analysis, data visualization and more.Reviews On Our Python Courses:"I know enough Python to be dangerous. Most of the ML classes are so abstract and theoretical that no learning happens. This is the first class where we use concrete examples that I can relate to and allow me to learn. Absolutely love this course!" - Mary T."Yes, this is an amazing start. For someone new in python this is a very simple boot course. I am able to relate to my earlier programming experience with ease!" - Gajendran C."Clear and concise information" - Paul B."Easy to understand and very clear explanations. So far so good!!!" - Alejandro M.This is a once in a lifetime chance to enroll in a massive course.Absolutely no experience necessary. Start with a complete introduction to Python that is perfect for absolute beginners and can also be used a review.Jump into using the most popular libraries and frameworks for working with Python. You'll learn everything you need to become a data scientist. This includes:0. Python Crash Course for BeginnersLearn Python with project based examples. Get up and running even if you have no programming experience. Superboost your career by masterig the core Python fundamentals.1. Data Science with NumPyBuild projects with NumPy, the #1 Python library for data science providing arrays and matrices.2. Data Analysis with PandasBuild projects with pandas, a software library written for the Python programming language for data manipulation and analysis.2. Data Visualization with PyPlotBuild projects with pyplot, a MATLAB-like plotting framework enabling you to create a figure, create a plotting area in a figure, plot lines in a plotting area, decorate the plot with labels and much more. Learn it all in this massive course.3. Machine Learning TheoryMachine learning is in high demand and is quickly becoming a requirement on every software engineer's resume. Learn how to solve problems with machine learning before diving into practical examples.4. Introduction to TensorFlowBuild projects with TensorFlow, the most popular platform enabling ML developers to build and deploy machine learning applications such as neural networks. Build your first linear regression model with TensorFlow. Learn how to build a dataset, model, train and test!5. Build a Sentiment Analysis Model to Classify Reviews as Positive or NegativeAll source code is included for each project.If you buy one course this year, this is it. Sign up while spots are open.
