Python and TensorFlow Data Science and Iris Speciation

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课程主页: https://www.udemy.com/course/complete-python-machine-learning-and-classification-projects/

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课程名称:Python与TensorFlow数据科学及鸢尾花物种分类 课程概述:机器学习使你能够构建更强大、更准确、更用户友好的软件,以更好地响应和适应现实需求。许多公司,如谷歌、Facebook、Netflix和亚马逊,已经整合了机器学习技术,针对这些技术的高薪职位也越来越多。这个有趣且激动人心的课程将帮助你通过构建项目和解决问题来找到下一个有趣的高薪工作。在短短几个小时内,你将掌握新的技能,并通过项目来巩固这些技能。 课程内容包括: - 深入探讨机器学习 - 机器学习解决的问题 - 机器学习的类型 - 常见的机器学习结构 - 构建机器学习模型的步骤 - 使用TensorFlow构建线性回归机器学习模型 - 测试和训练模型 - Python变量和运算符 - 集合类型、条件和循环 - 函数、类和对象 - 安装和导入NumPy - 构建NumPy数组及多维数组 - NumPy的数组索引和属性 - NumPy函数和运算 - 以及更多内容! 通过这个项目驱动的课程,为简历添加新技能: - 使用PyPlot绘制数据图 - 自定义图形 - 使用PyPlot构建3D图形 - 使用TensorFlow构建程序,将鸢尾花分类成不同的物种 - 构建分类模型 - 跟踪数据 - 实现逻辑和响应性 - 构建数据结构 - 用NumPy数组替代Python列表 - 构建和使用NumPy数组 - 使用常见数组函数 - 使用Pandas系列和数据框 - 阅读CSV文件与Pandas - 以及更多内容! 机器学习正迅速成为每位软件开发人员必备的技能。无论你是开发人员还是有志成为数据科学家,立即报名,学习你需要掌握的所有知识。这是一个完整的Python课程,涵盖图像识别、数据分析、数据可视化等内容。 对我们Python课程的评价: “我知道足够的Python来应付一些事情,但大多数机器学习课程都抽象而理论,难以学习。这是第一门使用具体例子让我相关联并能够学习的课程。我绝对喜欢这门课!”— Mary T. “是的,这是一个很棒的开始。对于Python新手来说,这是一个非常简单的入门课程。我能够轻松联系我之前的编程经验!”— Gajendran C. “信息清晰简洁。”— Paul B. “易于理解,解释非常清晰。到目前为止一切都很好!”— Alejandro M. 每个项目都包含源代码。不要错过这个机会!立即注册,加入我们的社区。

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Machine learning allows you to build more powerful, more accurate and more user friendly software that can better respond and adapt.Many companies are integrating machine learning or have already done so, including the biggest Google, Facebook, Netflix, and Amazon.There are many high paying machine learning jobs.Jump into this fun and exciting course to land your next interesting and high paying job with the projects you'll build and problems you'll learn how to solve.In just a matter of hours you'll have new skills with projects to back them up: Deep dive into machine learningProblems that machine learning solvesTypes of machine learningCommon machine learning structuresSteps to building a machine learning modelBuild a linear regression machine learning model with TensorFlowTest and train the modelPython variables and operatorsCollection typesConditionals and loopsFunctionsClasses and objectsInstall and import NumPyBuild NumPy arraysMultidimensional NumPy arraysArray indexes and propertiesNumPy functionsNumPy operationsAnd much more!Add new skills to your resume in this project based course: Graph data with PyPlotCustomize graphsBuild 3D graphs with PyPlotUse TensorFlow to build a program to categorize irises into different species.Build a classification modelTrack dataImplement logicImplement responsivenessBuild data structuresReplace Python lists with NumPy arraysBuild and use NumPy arraysUse common array functionsUse Pandas seriesUse Pandas Date RangesUse Pandas DataFramesRead CSVs with PandasInstall and import PandasBuild Pandas Series and DataFramesGet elements from a SeriesGet properties from a seriesModify seriesSeries operationsSeries comparisons and iterationAnd much more!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.All source code is included for each project.Don't miss out! Sign up to join the community.

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