本課程《用ChatGPT高效完成數據分析與機器學習項目：回歸、分類、聚類實戰指南》由 Alexander Hagmann 講授，採用項目驅動式教學方式，結合 Python、Pandas、scikit-learn 與 ChatGPT，幫助你快速掌握數據科學核心技能，解決真實商業問題。
課程適合數據分析入門者、希望藉助AI提升效率的數據科學從業者，以及想將ChatGPT整合進日常分析流程的專業人士。無需深入掌握全部編程與統計細節，也能完成複雜數據項目。立即加入，用ChatGPT釋放你的數據生產力！
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教程名稱：ChatGPT for Python Data Science and Machine Learning
下載連結：https://www.nidown.com/chatgpt-423012.html
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最便捷、最實惠的 ChatGPT Plus 升級服務來了！！！
點擊查看詳情：https://www.kkmac.com/go/chatgpt
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英文原版介紹
Published 3/2024
Created by Alexander Hagmann
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 187 Lectures ( 13h 27m ) | Size: 6 GB
Master Data Analysis, Regression, Classification, Clustering and Pandas Coding with ChatGTP! A Project-based Course.
What you’ll learn:
Use ChatGPT for real-life Data Science and Machine Learning Projects
Let ChatGPT write do the Coding work (Python, Pandas, scikit-learn etc.)
Use ChatGPT to select the most suitable Machine Learning Model
Use ChatGPT to analyse and interpret the outcomes of Machine Learning & Statistical Models
Perform an Explanatory Data Analysis with ChatGPT and Python
Use ChatGPT for Data Manipulation, Aggregation, advanced Pandas Coding & more
Use ChatGPT to fit and evaluate Regression and Classification Models
Use ChatGPT for Multiple Regression Analysis and Hypothesis Testing
Use ChatGPT for Error Handling and Troubleshooting
Master Clustering and Unsupervised Learning with ChatGPT
Requirements:
An internet connection capable of streaming HD videos.
Some Data Science or Machine Learning related background (not required but it helps)
First Experience with Python and the Python Data Science Ecosystem (not required but it helps)
