ChatGPT for Python Data Science and Machine Learning

本课程《用ChatGPT高效完成数据分析与机器学习项目：回归、分类、聚类实战指南》由 Alexander Hagmann 讲授，采用项目驱动式教学方式，结合 Python、Pandas、scikit-learn 与 ChatGPT，帮助你快速掌握数据科学核心技能，解决真实商业问题。

课程适合数据分析入门者、希望借助AI提升效率的数据科学从业者，以及想将ChatGPT整合进日常分析流程的专业人士。无需深入掌握全部编程与统计细节，也能完成复杂数据项目。立即加入，用ChatGPT释放你的数据生产力！

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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)