16. Cross Validation and Bias-Variance Trade-Off

17. Logistic Regression

18. K Nearest Neighbors

19. Decision Trees and Random Forests

20. Support Vector Machines

21. K Means Clustering

22. Principal Component Analysis

23. Recommender Systems

24. Natural Language Processing

25. Neural Nets and Deep Learning - Part 01

25. Neural Nets and Deep Learning - Part 02

25. Neural Nets and Deep Learning - Part 03

25. Neural Nets and Deep Learning - Part 04

26. Big Data and Spark with Python

🔅 Convert PDF to docx (Word)

🔅 Create Dummy Data using Python

🔅 Most Popular Programming Languages in 2023

☑️ IBM Free course: Python Basics for Data Science

Course Link: https://www.edx.org/learn/python/ibm-python-basics-for-data-science

⭐️ https://t.me/LearnPython3

🔅 Data Visualizations with Plotly

🌐 Author: Brett Vanderblock
🔰 Level: Beginner

⏰ Duration: 55m

🌀 Learn how to create interactive data visualizations that can be shared online or offline using Plotly.

📗 Topics: Data Visualization, Plotly

📤 Join @python_trainings for more courses

🔸 Full description 🔸

With Plotly, you can make charts and share graphs, so that your colleagues and friends can see your work. In this course, instructor Brett Vanderblock shows you how to evaluate what graph types to use in various situations, deploy Plotly for your own initiatives, and develop your own interactive graphs. Plotly is a data visualization library. Brett walks you through its key attributes and how to start using it. Creating charts is easy with Plotly, and Brett introduces you to basic charts, statistical charts, 3D plotting, mapping, and more. He shows you how to add interactive dropdowns and buttons to your charts and graphs, as well as how to create subplots and create a dashboard to combine visualizations.
This course was created by Madecraft. We are pleased to host this training in our library.