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 π I wanted to share some of those resources from this year, you might also find them useful:
- Natural Language Processing with Python
- Dive into Deep Learning
- Cheat Sheets for Machine Learning Interview Topics
- You Are Underutilizing SHAP Values β Feature Groups and Correlations
- Qualitative comparison between Dask and Vaex
- Machine Learning Engineering for Production (MLOps)
- Draw data
- Image to LaTeX
- Easy MLOps with PyCaret + MLflow
- Introducing FlowPy β Process data with python from your browser!
- Interactive Data Visualization in Python With Bokeh
- Python Data Visualization Libraries for Business Analytics
- DataViz Project
- labml.ai Annotated PyTorch Paper Implementations
- ApplyingML
- To All Data Scientists β Donβt Live on the Edge, Have a Plan
- Machine Psychology Python Art
- Handbook of Graphs
- How to Create a Docker Image with Jupyter Notebook and Kotlin
- Pandas Tutor
Can you guess what I've been working on based on this?π€
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Dear @aicoding,
The current HiveBuzz proposal will expire in a few days.
Do you mind supporting our proposal for 2022 so our team can continue its work next year?
You can do it on Peakd, ecency, Hive.blog or using HiveSigner.
https://peakd.com/me/proposals/199
Thank you. We wish you a Happy New Year!
https://www.publicdomain.live/machine+learning
This is so based. Thank you.