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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