Generative AI for Data Scientists
- Created By fendouli
- Last Updated December 1st, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Description:
Unlock the power of creative and innovative thinking in our 'Generative AI for Data Scientists Training.' Discover how ChatGPT can be harnessed to streamline the entire data science workflow, making data extraction, modeling, hyperparameter tuning, and reporting quicker and more efficient. This course equips you with valuable insights and strategies to reduce the time-to-production, enabling you to transform ideas into models at least five times faster. Join us to supercharge your data science capabilities with Generative AI.
Duration: 2 Days
Course Code: BDT294
Learning Objectives
Upon completing this course, you will be able to:
- Write effective prompts to generate desired code output using ChatGPT.
- Request data sources from ChatGPT that align with necessary licensing requirements.
- Seamlessly integrate with existing ChatGPT plugins to enhance your workflows.
- Beginner Data Science
- Data Scientists, Data Analyst, Data Engineer, Business Intelligence Analyst
- Data Scientists, Data Analyst, Data Engineer, Business Intelligence Analyst
Course Outline:
What is Generative AI?
What are ChatGPT and Generative models?
Using ChatGPT for data preprocessing
How to prompt for a specific dataset publicly available?
Prompting and iterating on a preprocessing function
Capstone: Ask ChatGPT training code in Tensorflow for a Linear regression.
Capstone: Iterating to get a Sentiment Analysis dataset preprocessed and ready for modelling
Using ChatGPT for Modelling
Reporting with ChatGPT
Making ChatGPT create Jupyter Notebooks for reporting
What plugins are out there to use for ChatGPT?
Capstone: Ask ChatGPT training code in Tensorflow for a Linear regression.
Capstone: Iterating to get a Sentiment Analysis dataset preprocessed and ready for modelling
Training material provided: Yes (Digital format)
