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Machine learning

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

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glemaitre
glemaitre commented Aug 10, 2021

I just discover that we have a helper function to validate scalar:
https://scikit-learn.org/stable/modules/generated/sklearn.utils.check_scalar.html

Since this helper could help to get consistent error types and messages, I was wondering if we could make a long-running issue to introduce this helper everywhere possible.

I think this could be a good issue for first contributors and short spr

julia
aramirezreyes
aramirezreyes commented Aug 9, 2021

Looking for ";" in the help REPL shows a docstring that describes its use as the end of statement and as output suppressor but it doesn't mention its use as a separator between positional and keyword arguments in function definitions and calls, nor about its role for building arrays or about its usage to access the shell REPL mode.
This is the same in v1.6 and master (August 8 2021).

hel

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  • Updated May 13, 2021
  • Python
trivialfis
trivialfis commented Dec 13, 2020

Currently many more Python projects like dask and optuna are using Python type hints. With the Python package of xgboost gaining more and more features, we should also adopt mypy as a safe guard against some type errors and for better code documentation.

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