This Week's Reads: 🪄 Data Science Links #ND31
Interesting Data Science links that you can quickly consume during your Office Zoom
Hello,
We are back after a big holiday break in India. And here’s your 3 links of the week!
AutoXGB’s AutoML Magic
Abhishek Thakur (Dev at 🤗) has come up with a new library called AutoXGB that’s a combination of xgboost + optuna + fastapi. It’s an interesting combo that can help you in 1. A baseline xgboost, 2. Tuning Hyperparameters, 3. Serving the Model - all in simple one-liners.
Library - https://github.com/abhishekkrthakur/autoxgb
Video Tutorial (there’s an accompanying Kaggle Notebook in the YT Desc)
Zillow’s recent lay-offs have been discussed at length by the data science community for various reasons. Whether you feel it’s fair or not, reading those discussions can give you some nice nuggets. Read What were data folks saying about Zillow».
ML Use-cases List
Many times, Coming up with new Machine Learning use-cases is more difficult than actually doing ML. I recently came upon a site that has a decent list of use-cases by different domains like Engineering, Energy, Banking and so on. «Check it out yourself!»
Bonus: Hands-on?
Try making a beautiful map like this for your city «Code»
If you find this useful, share it with your colleagues
Happy learning,
Abdul