本课程《用生成式AI提升数据科学实战力:ChatGPT驱动的数据分析与建模》专为数据爱好者与分析师打造,带你用零编程经验轻松上手,掌握如何借助ChatGPT提升探索性数据分析(EDA)、建模与无监督学习效率。适合对数据科学感兴趣的初学者、分析从业者及希望借助AI提升数据处理效率的人士。课程无需AI或编程背景,通过实战案例助你掌握“AI + 数据科学”的前沿技能。立即加入,开启你的AI赋能数据之旅!
你将学习:
- 如何使用ChatGPT编写高效数据处理与建模代码
- 进行EDA与可视化,分析数据特征、识别趋势
- 借助ChatGPT选择最优机器学习模型并评估性能
- 应用无监督学习(如聚类)解决实际业务问题
- 深入理解提示词工程(Prompt Engineering)在数据项目中的实际作用
原版英文介绍
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
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