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Seaborn – Use in AI

Master Data Visualization with Seaborn: From Basics to Advanced AI Applications

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Enroll now for early access of e-LMS

MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Advanced

DURATION
8 weeks

About

This program focuses on using Seaborn for data visualization and analysis. It includes video lessons on creating basic to advanced plots, understanding aesthetics, and customizing visualizations for AI and machine learning workflows.

Aim

To equip PhD scholars and academicians with advanced skills in using Seaborn for data visualization in AI projects. This course covers creating statistical visualizations, advanced plotting techniques, and applying Seaborn for machine learning model evaluation.

Program Objectives

Master data visualization techniques with Seaborn.
Create effective visualizations for AI and ML workflows.
Use Seaborn to identify patterns, outliers, and anomalies in data.
Apply Seaborn for machine learning model evaluation and error analysis.
Gain hands-on experience with practical projects in AI.

Program Structure

Module 1: Introduction to Seaborn and Data Visualization
- Overview of Python libraries for visualization
- Setup and installation of Seaborn
- Basic plots and styles
Module 2: Statistical Data Visualization Techniques
- Histograms, density, and categorical data plots
- Visualizing complex datasets with Seaborn
Module 3: Advanced Data Visualization
- Multi-plot grids and regression plots
- Customization techniques for complex visualizations
Module 4: Visualization in Machine Learning
- Using Seaborn for data preprocessing and model evaluation
- Visualizing model performance and error analysis
Module 5: Capstone Projects and Practical Applications
- Final project to apply Seaborn in real-world AI use cases
- Visual presentation of results and feedback

Participant’s Eligibility

Data scientists, AI researchers, machine learning engineers, and academic professionals.

Program Outcomes

Develop advanced data visualizations using Seaborn.
Apply visualization techniques in AI and ML model evaluations.
Gain hands-on experience with real-world datasets.
Build customized visual presentations of data insights.
Use Seaborn for data preprocessing, anomaly detection, and error analysis.

Fee Structure

Standard Fee: INR ~~49,998~~ USD ~~1,300~~

Discounted Fee: INR 24999 USD 650

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Certificate

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam	Weightage
Mid Term Assignments	50 %
Project Report Submission (Includes Mandatory Paper Publication)	50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.