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via Udemy |
Go to Course: https://www.udemy.com/course/python-dash-plotly/
Certainly! Here's a comprehensive review and recommendation for the Coursera course titled "Python/Dash/Plotlyで簡単に機械学習WEBアプリを開発しよう": --- **Course Review and Recommendation: Python/Dash/Plotlyで簡単に機械学習WEBアプリを開発しよう** If you're a data scientist, analyst, or anyone interested in developing machine learning web applications without extensive web development experience, this course is an excellent choice. Titled *"Python/Dash/Plotlyで簡単に機械学習WEBアプリを開発しよう"*, the course offers a practical approach to building interactive web apps using Python libraries Dash and Plotly. **What You Will Learn:** - **Dash for Web Application Development:** Dash, a Python library based on Flask and React, allows you to create web applications entirely in Python. This course simplifies the process, enabling you to develop functional demo apps incorporating machine learning results without needing to learn JavaScript. - **Visualization Skills with Plotly:** You'll learn how to create interactive and visually appealing charts and graphs using Plotly and Plotly Express. Since Dash is a product of Plotly, understanding their visualization tools is key to building effective dashboards. - **Practical Project:** The course culminates in creating a web app that predicts tipping amounts, providing a hands-on experience that solidifies your understanding. **Course Structure & Content:** While the course does not provide a detailed syllabus, it covers essential topics such as: - Visualization techniques with Plotly and Plotly Express - Building basic Dash applications - Practical application of these tools in a machine learning context Please note that this course does not include deployment steps, and it assumes basic knowledge of Python and Pandas. It also does not cover extensive machine learning model training or web deployment, focusing instead on app development and visualization. **Pros:** - Focused on practical skills for building machine learning demo apps with minimal setup - No need to learn JavaScript or advanced web development - Hands-on project helps reinforce learning by creating a real application **Cons:** - Lacks detailed backend deployment guidance - Not suitable for complete beginners without Python or Pandas experience - Limited focus on machine learning model training **Who Should Take This Course?** - Data analysts and data scientists looking to showcase their machine learning results via interactive apps - Python users interested in web app development without diving into full-stack programming - Professionals who want to add visualization and interactive dashboard skills to their toolkit **Final Recommendation:** If your goal is to quickly learn how to develop interactive, machine learning-powered web applications using Python, this course is highly recommended. It's practical, focused, and makes good use of popular libraries like Dash and Plotly. However, to deploy fully functional apps in production, additional learning on web deployment might be necessary. --- Feel free to ask if you'd like a more tailored review or have other questions!
本コースでは、Dashによる機械学習WEBアプリの開発にチャレンジします。DashはFlaskやReactをベースとしたPythonのライブラリであり、WEBアプリ開発をPythonだけでできる優れものです(JavaScriptなどを覚える必要はありません!)。そこまで凝ったことはできませんが簡単なアプリ程度であれば十分作れますので、データサイエンティストなどの分析者が機械学習をした結果を組み込んだデモアプリ等を作るには最適でしょう。また、Dashに加えてPlotly, Plotly expressによる可視化も学びます。DashはPlotly社の製品なのでグラフを組み込むにはPlotlyを使う必要があります。Plotlyはインタラクティブな可視化ができるライブラリでとても有用ですので、使えるようになるととても便利です。ぜひ本コースを通じて、PlotlyとDashを使ったWEBアプリ開発ができるようになっていただければと思います。本コースの概要Plotlyによる可視化Plotly expressによる可視化Dashの基本演習:チップ額を予測するWEBアプリ作成注意事項デプロイはしませんPythonやPandasの基本なども行いません