learn-python | Codecademy | Learn Python

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kandi X-RAY | learn-python Summary

learn-python is a Python library. learn-python has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However learn-python build file is not available. You can download it from GitHub.

Senior Curriculum Developer: Sonny Li (sonny@codecademy.com). Senior Curriculum Developer: David Patlut (dpatlut@codecademy.com). Artwork: Tim Liedtke (

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learn-python has a low active ecosystem.

It has 179 star(s) with 300 fork(s). There are 24 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 5 have been closed. On average issues are closed in 99 days. There are 50 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of learn-python is current.

Quality

learn-python has 0 bugs and 0 code smells.

Security

learn-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

learn-python code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

learn-python is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

learn-python releases are not available. You will need to build from source code and install.

learn-python has no build file. You will be need to create the build yourself to build the component from source.

It has 171 lines of code, 0 functions and 11 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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learn-python Key Features

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learn-python Examples and Code Snippets

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Community Discussions

Trending Discussions on learn-python

Scikit-learn cross_val_score throws ValueError: The first argument to `Layer.call` must always be passed

python naive Bayes tutorial - what is two_obs_test[continuous_list]?

Is there a way to do transformation on features X based on true labels in y?

QUESTION

Scikit-learn cross_val_score throws ValueError: The first argument to `Layer.call` must always be passed

Asked 2021-Apr-06 at 09:24

I'm working on a deep learning project and I tried following a tutorial to evaluate my model with Cross-Validation.

I was looking at this tutorial: https://machinelearningmastery.com/use-keras-deep-learning-models-scikit-learn-python/

I started by first splitting my dataset into features and labels:

...

ANSWER

Answered 2021-Apr-06 at 06:08

model = KerasClassifier(build_fn=create_model(), ...)

Source https://stackoverflow.com/questions/66963373

QUESTION

python naive Bayes tutorial - what is two_obs_test[continuous_list]?

Asked 2021-Feb-11 at 20:39

I'm following a tutorial on Naive Bayes at https://towardsdatascience.com/why-how-to-use-the-naive-bayes-algorithms-in-a-regulated-industry-with-sklearn-python-code-dbd8304ab2cf but I'm stuck on interpreting the reference in the third code block to two_obs_test[continuous_list]

The full code listing is ...

...

ANSWER

Answered 2021-Feb-11 at 19:52

The tutorial has too many gaps. I think a view of the insides of Naive Bayes without reading a whole book is better found at https://machinelearningmastery.com/naive-bayes-classifier-scratch-python/ . I am not persisting with the tutorial and I advise others to avoid it.

Source https://stackoverflow.com/questions/66094143

QUESTION

Is there a way to do transformation on features X based on true labels in y?

Asked 2020-May-27 at 13:08

I have checked other questions covering the topic such as this, this, this, this and this as well as some great blog posts, blog1, blog2 and blog3 (kudos to respective author) but without success.

What I want to do is to transform rows whose values are under a certain threshold in X, but only those that correspond to some specific classes in the target y (y != 9). The threshold is calculated based on the other class (y == 9). However, I have problems understanding how to implement this properly.

As I want to do parameter tuning and cross-validation on this I will have to do the transformation using a pipeline. My custom transformer class looks like below. Note that I haven't included TransformerMixin as I believe I need to take into account for y in the fit_transform() function.

...

ANSWER

Answered 2020-May-27 at 13:08

In the comments I was talking about this:

Source https://stackoverflow.com/questions/61975829

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install learn-python

You can download it from GitHub.
You can use learn-python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.