ChatGPT for Data Science and Machine Learning

By leveraging ChatGPT's advanced natural language processing capabilities, data scientists can improve their workflows and achieve better results in their projects.
Duration: 1 Day
Hours: 3 Hours
Training Level: All Level
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Single Attendee
$199.00 $332.00
6 month Access for Recorded

About the Course:

WELCOME TO THE COURSE - ChatGPT for DATA SCIENCE AND MACHINE LEARNING

ChatGPT is an AI-powered conversational agent based on the GPT-3.5 architecture developed by OpenAI. As a language model, ChatGPT is capable of understanding and generating human-like responses to a wide variety of topics, making it a versatile tool for chatbot development, customer service, and content creation. Furthermore, ChatGPT is designed to be highly scalable and customizable, allowing developers to fine-tune its responses and integrate them into various applications and platforms. This flexibility makes ChatGPT a valuable asset for businesses seeking to enhance customer engagement and streamline their operations.

ChatGPT can be a useful tool for Programmers and Data Scientists in various ways. 

  1. Code Generation: ChatGPT can generate code snippets based on natural language prompts, which can be useful for programmers who need to quickly prototype ideas or generate boilerplate code. By training ChatGPT on a corpus of code examples, programmers can create a language model that can generate syntactically correct code snippets for a variety of programming languages.
  2. Documentation Generation: ChatGPT can also be used to generate documentation for code. By training ChatGPT on a corpus of code comments and documentation, programmers can create a language model that can generate documentation for code snippets or entire codebases automatically.
  3. Code Optimization: ChatGPT can be used to optimize code by suggesting ways to simplify or optimize code snippets. By training ChatGPT on a corpus of optimized code examples, programmers can create a language model that can suggest improvements to existing code, which can help to reduce code complexity, improve performance, and increase maintainability.
  4. Error Handling: ChatGPT can also be used to improve error handling by suggesting solutions to common coding errors. By training ChatGPT on a corpus of code examples that contain errors and their solutions, programmers can create a language model that can suggest solutions to common coding errors automatically.

COMPLETE COURSE THAT WILL TEACH YOU ABOUT DATA SCIENCE AND MACHINE LEARNING AND HOW YOU CAN LEVERAGE THE POWER OF ChatGPT FOR A FASTER AND MORE EFFICIENT PROJECT DEVELOPMENT.

Course Objective:

  • Learn about Fundamentals of Data Science and Machine Learning.
  • Learn to leverage the power of ChatGPT and add a powerful tool to your Tech Stack.
  • Learn about Matplotlib and Seaborn - Two important Data Visualization libraries in Python.
  • Build 3 complete Data Science and Machine Learning Projects in a quick and efficient way by using concepts covered in the course and ChatGPT.

Who is the Target Audience?

  • Anybody with an interest in Data Science and Machine Learning.
  • Anybody who wants to learn to develop Data Science and Machine Learning
  • Projects in a quick and efficient manner by leveraging the power of ChatGPT.
  • Python developers who are curious about Data Science, Machine Learning, and ChatGPT.

Basic Knowledge:

  • Basic understanding of Python programming language.

Curriculum
Total Duration: 3 Hours
Machine Learning Fundamentals
Regression and Classification ML Algorithms like Random Forest, Decision trees, KNN, etc…
Machine Learning model evaluation metrics
Data Visualization
Libraries like Matplotlib and Seaborn
Introduction and multiple use cases of ChatGPT
How to use ChatGPT for faster development of your Data Science Projects
3 Complete Practical End to End Data Science Projects using ML Algorithms