- Save me from reinventing feature extraction http://scikit-learn.org/stable/modules/preprocessing.html#encoding-categorical-features 9 comments learnmachinelearning
Linking pages
- Towards understanding and detecting fake reviews in app stores | SpringerLink https://link.springer.com/article/10.1007/s10664-019-09706-9#Sec27 55 comments
- Sparse Matrices · Matt Eding https://matteding.github.io/2019/04/25/sparse-matrices 19 comments
- GitHub - nikolaydubina/go-featureprocessing: 🔥 Fast, simple sklearn-like feature processing for Go https://github.com/nikolaydubina/go-featureprocessing 9 comments
- Anomalies in Vote Counts and Their Effects on Election 2020 https://votepatternanalysis.substack.com/p/voting-anomalies-2020 7 comments
- Price your car with data | Schibsted http://bytes.schibsted.com/price-car-data/ 1 comment
- Numerai - like Kaggle, but with a clean dataset, top ten in the money, and recurring payouts - FastML http://fastml.com/numerai-like-kaggle-but-with-a-clean-dataset-top-ten-in-the-money-and-recurring-payouts/ 0 comments
- Scale, Standardize, or Normalize with Scikit-Learn | by Jeff Hale | Towards Data Science https://towardsdatascience.com/scale-standardize-or-normalize-with-scikit-learn-6ccc7d176a02?sk=a82c5faefadd171fe07506db4d4f29db&source=friends_link 0 comments
- Tutorial: Learning Curves for Machine Learning in Python for Data Science https://www.dataquest.io/blog/learning-curves-machine-learning/ 0 comments
- Guide to Encoding Categorical Values in Python - Practical Business Python http://pbpython.com/categorical-encoding.html 0 comments
- Some Essential Hacks and Tricks for Machine Learning with Python | by Tirthajyoti Sarkar | Heartbeat https://heartbeat.fritz.ai/some-essential-hacks-and-tricks-for-machine-learning-with-python-5478bc6593f2 0 comments
- Detecting bats by recognising their sound with Tensorflow - Pinch of Intelligence http://www.pinchofintelligence.com/detecting-bats-recognising-sound-tensorflow/ 0 comments
- GitHub - jonathan-bower/DataScienceResources: Open Source Data Science Resources. https://github.com/jonathan-bower/DataScienceResources 0 comments
- GitHub - chakki-works/chariot: Deliver the ready-to-train data to your NLP model. https://github.com/chakki-works/chariot#build--run-preprocess 0 comments
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