Chatgpt For Machine Learning & Data Science

Improve your productivity! If its AI, its ChatGPT!

What you'll learn

How ChatGPT could be leveraged to master machine learning

What are the best practices in prompt engineering

How ChatGPT could improve the productivity

What are the limitations of ChatGPT

How ChatGPT could be used to de-bug computer programs

Requirements

Basic knowledge of Python and Machine Learning

Description

Welcome to "ChatGPT for Machine Learning," an extensive course crafted meticulously to enhance your prowess in utilizing one of the most advanced language models for machine learning applications. This course unfolds a step-by-step guide on how to adeptly write code, debug and navigate the terrain of creating intricate machine learning models using ChatGPT.Our in-depth sessions cover a blend of prompt engineering and hands-on practical demonstrations, enabling you to fathom the diverse potentials of ChatGPT and understand how to fine-tune it for your specific machine learning tasks. Additionally, we delve into the commonly encountered debugging issues, equipping you with techniques to address and rectify them, thereby enhancing your model-building proficiency.This course is an essential toolkit for both novices and professionals seeking to augment their artificial intelligence and machine learning skills, by mastering the use of the groundbreaking ChatGPT. As you gain a profound understanding of how to write effective code, debug, and construct machine learning models with ChatGPT, you position yourself at the vanguard of the burgeoning AI revolution.Furthermore, this course also places emphasis on data privacy challenges, ensuring that your AI models are not only powerful, but also responsible. Join us on this exciting journey as we delve into the captivating world of AI-driven language understanding and generation, unravelling the myriad applications of ChatGPT in the modern AI landscape.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Getting Started with ChatGPT

Lecture 2 Introduction to OpenAI

Lecture 3 OpenAI Account Setup

Section 3: Technology Behind ChatGPT

Lecture 4 Understanding Large Language Models (LLMs) and Generative AI

Lecture 5 Understanding Transformers and Neural Networks

Section 4: Create a computer program and de-bug it

Lecture 6 Create a computer program and de-bug it

Section 5: Build a ML Model with ChatGPT

Lecture 7 Build a ML Model Using ChatGPT

Lecture 8 Build a Wordcloud using Streamlit with help from ChatGPT

Lecture 9 Access data from an online source and build a model

Section 6: Build a ML Model with Google Bard

Lecture 10 Build a ML Model with Google Bard

Lecture 11 Useful Features in Google Bard

Section 7: Prompt Engineering

Lecture 12 What is prompt engineering

Lecture 13 Prompt engineering in action

Section 8: Addressing Data Privacy Issues

Lecture 14 Addressing Data Privacy Issues

Students,Python programmers,Machine Learning enthusiasts,Data scientists