利用ChatGPT和Python进行生成AI与数据科学视频教程 (英文)

利用ChatGPT和Python进行生成AI与数据科学

本课程于2024年5月发布。

MP4 | 视频：h264，1920×1080 | 音频：AAC，44.1千赫 语言：英语 | 大小：1023.93 MB | 时长：1小时40分钟

利用ChatGPT驱动的EDA、建模和无监督学习增强数据科学的效率

你将学到：

• 利用ChatGPT的帮助高效编写源代码
• 使用ChatGPT选择最佳模型
• 利用ChatGPT和Python进行探索性数据分析（EDA）
• 通过ChatGPT掌握数据操作技巧
• 使用ChatGPT拟合和评估模型

要求：

• 无需具备AI或编程方面的先前经验，但渴望学习和探索新技术的态度是一个加分项！

描述：

发现生成AI和ChatGPT对数据科学的潜力利用生成AI和ChatGPT的潜力，彻底改变你的数据分析和数据科学项目。在这门尖端课程中，你将学习如何利用提示工程的力量来简化你的工作流程，实现卓越的结果。

掌握提示工程的艺术，利用ChatGPT的能力来高效编写源代码、选择最佳模型，并进行高级数据操作。通过使用ChatGPT和Python进行实践，进行探索性数据分析（EDA），拟合和评估机器学习模型，并应用聚类等无监督学习技术，获得实践经验。

本课程非常适合数据爱好者、分析师和科学家，他们希望保持领先地位，将生成AI整合到他们的项目中。无论你是初学者还是经验丰富的从业者，你都将学会如何使用ChatGPT解决真实世界的数据科学挑战，并使你的工作更加高效和有影响力。

通过本课程，你将深入了解提示工程，并掌握将生成AI和ChatGPT应用于数据分析和数据科学项目的技能。立即加入我们，用这种创新的数据科学方法将你的技能提升到一个新的水平！

Generative Ai & Data Science With Chatgpt & Python

Published 5/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1023.93 MB | Duration: 1h 40m

Harness Generative AI for Data Science: Boost efficiency with ChatGPT-driven EDA, modeling & unsupervised learning

What you’ll learn
Code efficiently with ChatGPT’s assistance
Select optimal models using ChatGPT
Perform EDA with ChatGPT and Python
Master data manipulation via ChatGPT
Fit and evaluate models using ChatGPT

Requirements
No prior experience with AI or programming is needed, but an eagerness to learn and explore new technologies is a plus!

Description
Discover the Power of Generative AI and ChatGPT for Data ScienceUnlock the potential of generative AI and ChatGPT to revolutionize your data analysis and data science projects. In this cutting-edge course, you’ll learn how to leverage the power of prompt engineering to streamline your workflows and achieve exceptional results.Master the art of prompt engineering and harness the capabilities of ChatGPT to write efficient code, select optimal models, and perform advanced data manipulation. Gain hands-on experience using ChatGPT and Python to conduct exploratory data analysis (EDA), fit and evaluate machine learning models, and apply unsupervised learning techniques like clustering.This course is perfect for data enthusiasts, analysts, and scientists who want to stay ahead of the curve and integrate generative AI into their projects. Whether you’re a beginner or an experienced practitioner, you’ll learn how to use ChatGPT to solve real-world data science challenges and make your work more efficient and impactful.By the end of this course, you’ll have a deep understanding of prompt engineering and the skills to apply generative AI and ChatGPT to your data analysis and data science projects. Join us now and take your skills to the next level with this innovative approach to data science!.

Overview
Section 1: Generative AI in a Nutshell

Lecture 1 Einstein in your basement

Lecture 2 Terminology

Lecture 3 How are Large Language Models trained?

Lecture 4 Model Types

Lecture 5 Our mindset towards AI

Lecture 6 The role of humans in the age of AI

Lecture 7 Models Vs Products

Lecture 8 Prompt Engineering

Lecture 9 Autonomous Agents with tools

Section 2: Data Analysis with ChatGPT

Lecture 10 Intro to ChatGPT for code & collab

Lecture 11 ChatGPT’s Magic on small dataset

Lecture 12 Small data set visualisations in free and paid version

Lecture 13 ReOrganize Data with ChatGPT

Lecture 14 Can ChatGPT find the fastest car in the dataset

Lecture 15 Text classification and categorization with ChatGPT

Section 3: Data Visualisations with ChatGPT

Lecture 16 Let’s crack visualisations with ChatGPT

Lecture 17 DS design principles for AI tools

Lecture 18 The power of advanced data anlytics for visualisations – ChatGPT Paid tool

Section 4: Lets do some predictions

Lecture 19 Lets do ML Predictions with ChatGPT

Lecture 20 Can chatGPT find the best performing ML models on the dataset?

Lecture 21 Building neural networks

Lecture 22 Is chatgpt- advanced analytics a better Data Scientist than me?

Lecture 23 Who makes the most salary? Kaggle dataset

Beginners seeking to master Google Gemini

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