| 1. Conditional Small Multiples.mp4 | 39 MB | ||
| 1. Conditional Small Multiples.srt | 9.6 KB | ||
| 1. Introduction to Seaborn Advance.mp4 | 3.9 MB | ||
| 1. Introduction to Seaborn Advance.srt | 1.9 KB | ||
| 1. Using Diff Seaborn Figure Styles.mp4 | 96 MB | ||
| 1. Using Diff Seaborn Figure Styles.srt | 15 KB | ||
| 2. Conditional Small Multiples Continue.mp4 | 115.2 MB | ||
| 2. Conditional Small Multiples Continue.srt | 11.2 KB | ||
| 2. Setting Different Color Palettes.mp4 | 82.4 MB | ||
| 2. Setting Different Color Palettes.srt | 11.1 KB | ||
| 3. Setting Different Color Palettes Continue.mp4 | 64 MB | ||
| 3. Setting Different Color Palettes Continue.srt | 6 KB | ||
| 3. Using Custom Functions.mp4 | 82.2 MB | ||
| 3. Using Custom Functions.srt | 8.2 KB | ||
| 4. Plotting Pairwise Data Relationships.mp4 | 93.5 MB | ||
| 5. Extra Examples Part 1.mp4 | 100.1 MB | ||
| 5. Extra Examples Part 1.srt | 8.6 KB | ||
| 6. Extra Examples Part 2.mp4 | 112.4 MB | ||
| 6. Extra Examples Part 2.srt | 9.2 KB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 21 total files | |||
Python Data Visualization using Seaborn – Advanced
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 10 lectures (1 hour, 35 mins) | Size: 788 MB
Learn attractive and informative statistical graphics and data visualization in Python using Seaborn
What you'll learn
One will learn about different types of visualizations, things to keep in mind before choosing the type of visualization, customizing visualizations, use of color palettes, etc which are going to be very useful skills that are very much in demand these days.
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.
Requirements
The basic prerequisite for this course is that the student or the professional should have a basic knowledge and understanding of the machine learning tools and techniques and also should have a basic knowledge and overview of the data science techniques. Apart from this, he should also be aware of the basic analytical concepts which are a must while opting for this course. The user should also have a mathematical background as most of the algorithms being used and the concepts which are discussed are mathematics-based.
If You Need More Courses, kindly Visit and Support Us -->> https://FreeCourseWeb.com
Thank You.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 958.9 MB | freecoursewb | 4 years | 0 | 0 | |
|
[ FreeCourseWeb ] Udemy - Web Scraping for Data Science - Python & Selenium - Basics Posted by
freecoursewb in Other
|
1.5 GB | freecoursewb | 4 years | 0 | 2 |
|
[ FreeCourseWeb ] Udemy - Ultimate JavaScript Arrays plus One To-Do List Project Posted by
freecoursewb in Other
|
506 MB | freecoursewb | 4 years | 0 | 0 |
| 615 MB | freecoursewb | 4 years | 0 | 1 | |
|
[ FreeCourseWeb ] Udemy - The Complete Google Docs Course - Google Docs Tricks & Tips Posted by
freecoursewb in Other
|
1.8 GB | freecoursewb | 4 years | 0 | 1 |
All Comments