15. Linear Regression

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)

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☑️ IBM Free course: Python Basics for Data Science

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

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🔅 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

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