[ FreeCourseWeb ] Udemy - Python Data Visualization using Seaborn - Intermediate

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[ FreeCourseWeb.com ] Udemy - Python Data Visualization using Seaborn - Intermediate
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction to Seaborn Intermediate.mp4 (4.2 MB)
    • 1. Introduction to Seaborn Intermediate.srt (1.8 KB)
    2. Visualizing the Distribution of a Dataset
    • 1. Plotting Univariate Distributions.mp4 (79.7 MB)
    • 1. Plotting Univariate Distributions.srt (10.9 KB)
    • 2. Plotting Bivariate Distributions.mp4 (89.4 MB)
    • 2. Plotting Bivariate Distributions.srt (9.5 KB)
    3. Visualizing Linear Relationships
    • 1. Functions to Draw linear Regression Models.mp4 (51.7 MB)
    • 1. Functions to Draw linear Regression Models.srt (8.1 KB)
    • 2. Fitting Different Kinds of Models.mp4 (72.0 MB)
    • 2. Fitting Different Kinds of Models.srt (7.4 KB)
    • 3. Conditioning on Other Variables.mp4 (87.7 MB)
    • 3. Conditioning on Other Variables.srt (9.7 KB)
    • 4. Examples on KDEPLOT.mp4 (97.7 MB)
    • 5. Examples on PAIRPLOT.mp4 (58.8 MB)
    • 6. JOINTPLOT and LMPLOT.mp4 (88.7 MB)
    • 6. JOINTPLOT and LMPLOT.srt (9.3 KB)
    • Bonus Resources.txt (0.3 KB)

Description

Python Data Visualization using Seaborn – Intermediate



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 9 lectures (1 hour, 12 mins) | Size: 630 MB
Be proficient with seaborn technology that is widely used for statistical data visualization techniques
What you'll learn

Under this part of the training program, advanced concepts of seaborn tool that are an introduction to seaborn advance, building structure multiplot grids, conditional small multiplies, use of custom functions, plotting pairwise data relationships, choosing color palettes, use of different seaborn figure styles, setting different color palettes, use of reference files in advance, etc.
This part of the training program what we learn about intermediate functionalities of seaborn which includes plotting univariate distribution, clotting of bivariate distributions, visualizing linear relationships, functions to draw linear regression models, filtering different kinds of models, conditioning all other variables, join plot and LM plot, use of reference files, KDE plot, etc.

Course
Requirements

Basic knowledge about Data and analytics and Python programming would be preferable
Anyone serious about learning Data Visualization and wants to make a career in this Field

If You Need More Courses, kindly Visit and Support Us -->> https://FreeCourseWeb.com

Thank You.



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[ FreeCourseWeb ] Udemy - Python Data Visualization using Seaborn - Intermediate

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630 MB
seeders:10
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[ FreeCourseWeb ] Udemy - Python Data Visualization using Seaborn - Intermediate

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