Data Science In The Nutshell

1. Heart of Data Science

HeartDS

2. How to choose the proper database in a cloud environment

  • A visual guide for AWS, Azure, and GCP
  • When selecting a database, you should carefully consider your options since it is a long-term commitment.
  • I would say that choosing the best database for you and your specific needs and requirements is essential.

DatabaseSelection

3. Data Scientist Skillset

🤔 What other skillsets would you add here?

Skillset1

Skillset2

4. 32 Datasets to Improved Your Skills

🔥 Look what’s in-store for you all this weekend, 32 data sets for you to use to practice and improve your skills as a data scientist: https://hubs.la/Q01w-j3G0

ImprovedSkills

5. Handling Missing Data

An overview to handling missing data in machine learning!

HandlingMissing

6. Data Science Pathway

Get started with data science this new year with our data science pathway 2023: https://hubs.la/Q01wCPJT0

Pathway

Pathway

7. Visualization Data

💥 33 tools to visualize data: https://hubs.la/Q01wRWhp0

Visualization1

Visualization2

7. ML Libraries

💡 An overview of machine learning libraries and purpose!

Libraries1

Libraries2

Libraries3

8. ML Algorithms Types

💥 Different types of algorithm!

AlgorithmTypes

9. AI Overview

💡 An overview to AI!

Overview1

Overview2

10. Algorithm Flowchart

💥An overview of flowchart algorithms!

Flowchart

11. self Learning

💥 A comprehensive guide to learning data analytics!

SelfLearning

12. Emerging AI in 2023

💥2023 emerging AI and Machine Learning trends: https://hubs.la/Q01v6k090

EmergingAI

Credits:

  • Data Science Dojo (LinkedIn)
  • Satish Chandra Gupta (LinkedIn)
  • Chanin Nantasenamat (LinkedIn)
  • datawdash (LinkedIn)
  • Scientist Cafe
  • Steve Nouri