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所在平台: Udemy |
课程主页: https://www.udemy.com/course/javascript-and-python-streamlit-ml-project-based-course/
课程评论：没有评论
课程名称：Javascript和Python Streamlit机器学习认证项目课程 课程概述：如果你想学习Javascript或者将HTML5、CSS3和Javascript应用到项目中，或者你已经具备一定的基础知识，这门课程将为你提供提升技能的良机。课程内容从基础开始，学习如何在两个项目中应用技能（问答游戏和打地鼠游戏）。完成课程后，你将获得Javascript和Python Streamlit机器学习的认证。请向我发送你的电子邮件地址，我将通过评估后将认证发送给你。请耐心等待几周到一个月的时间来接收你的电子证书。 你将学习Javascript的基础知识，包括变量、数据类型、函数、对象、数组、条件语句、运算符等。课程以实践为主，旨在让所有技能水平的学员动手构建项目。每个项目从零开始构建，具有动态功能。虽然课程包含理论知识，但我会在讲解时逐步说明，项目设计可在几小时内完成。对于有HTML/CSS/JS基础的学员，这门课程兼顾理论与项目实践，强调Javascript理论和项目构建。 第一个项目是问答游戏，你将学习如何选择随机数字、用户界面、算法计算答案、胜负条件、进度条和动画等技能。第二个项目是打地鼠游戏，内容包括ES6语法、事件监听、控制CSS样式及类、使用setTimeout和setInterval、了解const和let的区别、普通JavaScript函数和ES6箭头函数等。创建一个插件来跟踪并存储最高分数，深入讨论逻辑运算符和JavaScript的基本技巧，学习JavaScript DOM操作以及本地存储。 这些项目将帮助你更好地理解JavaScript的工作原理，提升你作为前端开发者的技能，并为找到第一份编码工作做好准备。同时，这也是学习React、React Native和Next.js的良好基础。 课程还将引导你学习如何利用Python及其库进行数据分析、创建美观的可视化以及使用强大的机器学习算法。你将从Python和库的安装开始，逐步搭建项目。课程包含三个项目：薪资预测、分类Web应用和BMI计算器，帮助你实施监督学习和无监督学习，使用Streamlit、KNN聚类、SVM、Numpy、Pandas、Matplotlib和Scikit-Learn等机器学习库。 此外，你可以通过Streamlit和机器学习的测验来评估自己的知识，并接受创建BMI计算器的挑战。课程提供文本和视频解决方案，以帮助你更好地理解。 快来加入我，Developer Shack，开启你在机器学习和数据科学领域的精彩旅程吧！立即注册，让我们一起创建令人惊叹的机器学习应用！
If you want to start learning Javascript or to apply HTML5, CSS3 and Javascript in a project to program or you already have some basic knowledge, then you are in the right place. This course gives you a chance to take your knowledge to the next level. You will start from very basics and learn to apply the skills in two different projects (Quiz and Game).Get certified in Javascript and Python Streamlit Machine Learning. Please send me your email in my inbox and I will forward you your certification after your assessment. Please give at least few weeks to a month to receive your certificate via email as it is a popular course.You will learn about the very basics of this language, like how to write JavaScript, what kind of syntax it has. You will learn the following topics on Javascript theory: Javascript VariablesJavascript Data TypeJavascript FunctionJavascript Function ParameterJavascript ReturnJavascript ScopeJavascript Alert Confirm PromptJavascript ObjectsJavascript ArraysJavascript If Else statementJavascript Switch CaseJavascript Maths OperatorsJavascript Logical Operators(More topics will be added in the future) This is a fun, practical & project based course for all skill levels. The projects in this course are designed to get you building things using HTML5, CSS & JavaScript with no frameworks or libraries. Every project is built from scratch and has some kind of dynamic functionality.Although this is a theoretical and project based course, I will still be explaining everything as I go. There are projects designed for you to complete in a few hours.You should have some basic knowledge of HTML/CSS/JS. If you are brand new, this course is a mix of both with emphasis on Javascript theory and building two projects. The projects are end to end product. You will learn to create two projects. First project is Quiz. The following skills you will learn to implement in the project: Choosing Random NumbersUser InterfaceCalculating Answer (Algorithm)Win and Lose condition Progress BarOverlayAnimation Second project is Whack a Mole game. The following skills you will learn to implement in the project: Learn about ES6 syntaxEvent listenersHow to control CSS styles and classes with JavaScriptWhat's the difference between setTimeout and setIntervalHow to use clearInterval, difference between const and let variablesRegular JavaScript functions and ES6 arrow functions and much more. Create a plugin that tracks, updates and stores high score. We will also talk about logical operators in JavaScript (OR/AND/NOT) and other fundamental vanilla JavaScript techniques and principles that are useful not only for games, but also for building websites, generative artJavaScript DOM manipulation (build a simple game add-on that keeps track of high score)Learn local storage browser objects and it's associated JavaScript methods.The projects will help you better understand how JavaScript works, use these skills to level up as a Front end web developer and get one step closer to getting hired for your first coding job. Also, it is a good stepping stone before you start learning React, React native and Next.jsAre you ready to start your career in Machine learning and as a Data Scientist. This course will be your guide to learning how to use the power of Python and the libraries to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!It is a brilliant course where you will learn how to setup the project step by step from installation of python and the libraries to finished project. There are three projects that will allow you to use and implement supervise and unsupervise learning in the projects.You will learn to create the following projects: 1. Salary Predictor 2. Classification Webapp 3. BMI Calculator This course will also allow you to utilise and implement several Machine learning libraries to these projects. The list are: StreamlitKNN ClusteringSVMNumpyPandasMatplotLibScikit-LearnFurthermore, you will be able to assess your knowledge through doing a quiz on Streamlit and Machine Learning. Also, a challenge is set to create a BMI calculator. Solutions are given in text form and video for explanation. So I invite you to join me, Developer Shack on an exciting journey into unlocking the secrets of Machine Learning for Data Science.Sign up right now, and let's create amazing Machine learning apps!
