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:
- Natural Language Processing with Python
- Dive into Deep Learning
- Cheat Sheets for Machine Learning Interview Topics
- You Are Underutilizing SHAP Values — 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 — 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 — Don’t 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?🤔
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https://www.publicdomain.live/machine+learning
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Thank you. We wish you a Happy New Year!Dear @aicoding,