A list of 2021 Resources - pt. 2

Do you guys/girls also bookmark lots of resources to read after? Well I am actually one for those who reads them 😂 I wanted to share some of those resources from this year, you might also find them useful:

1. Natural Language Processing with Python
2. Dive into Deep Learning
3. Cheat Sheets for Machine Learning Interview Topics
4. You Are Underutilizing SHAP Values — Feature Groups and Correlations
5. Qualitative comparison between Dask and Vaex
6. Machine Learning Engineering for Production (MLOps)
7. Draw data
8. Image to LaTeX
9. Easy MLOps with PyCaret + MLflow
10. Introducing FlowPy — Process data with python from your browser!
11. Interactive Data Visualization in Python With Bokeh
12. Python Data Visualization Libraries for Business Analytics
13. DataViz Project
14. labml.ai Annotated PyTorch Paper Implementations
15. ApplyingML
16. To All Data Scientists — Don’t Live on the Edge, Have a Plan
17. Machine Psychology Python Art
18. Handbook of Graphs
19. How to Create a Docker Image with Jupyter Notebook and Kotlin
20. Pandas Tutor

Can you guess what I've been working on based on this?🤔