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Home Other Tutorials

Generative AI for Data Analysis and Engineering with ChatGPT

October 1, 2024
in Other Tutorials, Free Course, Tutorials
Generative AI for Data Analysis and Engineering with ChatGPT

Generative AI for Data Analysis and Engineering with ChatGPT

Source
https://www.udemy.com/course/generative-ai-for-data-analysis-and-engineering-with-chatgpt/
Category
Other Tutorials
File Size
4.2 GB
Publisher
udemy
Updated
October 01, 2024
Description

What you’ll learn

  • Data analysis is the process of studying or manipulating a dataset to gain some sort of insight
  • Big News: Introducing ChatGPT-4o
  • How to Use ChatGPT-4o?
  • Chronological Development of ChatGPT
  • What Are the Capabilities of ChatGPT-4o?
  • As an App: ChatGPT
  • Voice Communication with ChatGPT-4o
  • Instant Translation in 50+ Languages
  • Interview Preparation with ChatGPT-4o
  • Visual Commentary with ChatGPT-4o
  • ChatGPT for Generative AI Introduction
  • Accessing the Dataset
  • First Task: Field Knowledge
  • Continuing with Field Knowledge
  • Loading the Dataset and Understanding Variables
  • Delving into the Details of Variables
  • Let’s Perform the First Analysis
  • Updating Variable Names
  • Examining Missing Values
  • Examining Unique Values
  • Examining Statistics of Variables
  • Exploratory Data Analysis (EDA)
  • Categorical Variables (Analysis with Pie Chart)
  • Importance of Bivariate Analysis in Data Science
  • Numerical Variables vs Target Variable
  • Categoric Variables vs Target Variable
  • Correlation Between Numerical and Categorical Variables and the Target Variable
  • Examining Numeric Variables Among Themselves
  • Numerical Variables – Categorical Variables
  • Numerical Variables – Categorical Variables with Swarm Plot
  • Relationships between variables (Analysis with Heatmap)
  • Preparation for Modeling
  • Dropping Columns with Low Correlation
  • Struggling Outliers
  • Visualizing Outliers
  • Dealing with Outliers
  • Determining Distributions
  • Determining Distributions of Numeric Variables
  • Applying One Hot Encoding Method to Categorical Variables
  • Feature Scaling with the RobustScaler Method for Machine Learning Algorithms
  • Feature Scaling with the RobustScaler Method for Machine Learning Algorithms
  • Logistic Regression Algorithm
  • Cross Validation
  • ROC Curve and Area Under Curve (AUC)
  • ROC Curve and Area Under Curve (AUC)
  • Hyperparameter Tuning for Logistic Regression Model
  • Decision Tree Algorithm
  • Support Vector Machine Algorithm
  • Random Forest Algorithm
  • Generative AI is artificial intelligence (AI) that can create original content in response to a user’s prompt or request
Preview
1 image
Preview
Download File
1 file
DOWNLOAD NOW
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