用 ChatGPT 掌握 Python 数据科学与机器学习：回归、分类、聚类全流程实战课

本课程通过项目驱动教学，系统讲解如何结合 ChatGPT 高效完成数据科学与机器学习任务。你将掌握用 ChatGPT 编写 Pandas 与 Scikit-learn 代码，完成数据清洗、EDA 分析、模型选择、回归、分类、聚类等任务，并能解读模型结果、优化参数与处理错误。课程适合已有基础或希望借助 AI 高效学习的用户，是提升建模效率与理解深度的实用指南，助你真正掌握 AI 驱动的数据分析流程。

本教程为高质量英文原版视频课程，英文基础较弱的同学可通过翻译插件辅助学习。

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教程名称：ChatGPT for Python Data Science and Machine Learning

下载连结：https://www.nidown.com/chatgpt-423012.html

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最便捷、最实惠的 ChatGPT Plus 升级服务来了！！！

点击查看详情：https://www.kkmac.com/go/chatgpt

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英文原版介绍

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)