machine-learning-course | :speech_balloon: Machine Learning Course with Python: | Machine Learning library
kandi X-RAY | machine-learning-course Summary
kandi X-RAY | machine-learning-course Summary
machine-learning-course is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning applications. machine-learning-course has no bugs, it has no vulnerabilities and it has medium support. However machine-learning-course build file is not available. You can download it from GitHub.
:speech_balloon: Machine Learning Course with Python:
:speech_balloon: Machine Learning Course with Python:
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Quality
Security
License
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Support
machine-learning-course has a medium active ecosystem.
It has 6927 star(s) with 1264 fork(s). There are 312 watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 3 have been closed. On average issues are closed in 5 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of machine-learning-course is 1.0
Quality
machine-learning-course has 0 bugs and 0 code smells.
Security
machine-learning-course has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
machine-learning-course code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
machine-learning-course does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
machine-learning-course releases are available to install and integrate.
machine-learning-course has no build file. You will be need to create the build yourself to build the component from source.
machine-learning-course saves you 3706 person hours of effort in developing the same functionality from scratch.
It has 7912 lines of code, 20 functions and 72 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed machine-learning-course and discovered the below as its top functions. This is intended to give you an instant insight into machine-learning-course implemented functionality, and help decide if they suit your requirements.
- Print a table of results
- Format an array
- Train the model
- Evaluate the model
- Print train and test results
- Autoencoder function
- Resizes a batch of MNIST images
- Classifier
- Real function
- Return a list of functions under function
- Overriding over function
Get all kandi verified functions for this library.
machine-learning-course Key Features
No Key Features are available at this moment for machine-learning-course.
machine-learning-course Examples and Code Snippets
Copy
install.packages(
c(
'AmesHousing',
'C50',
'devtools',
'discrim',
'earth',
'ggthemes',
'glmnet', # See important note below
'klaR',
'lubridate',
'party',
'pROC',
'rpart',
'stringr',
'textfea
Copy
data/
train/
class1/
class2/
validation/
class1/
class2/
Copy
- python==3.6.4
- numpy==1.13.3
- scipy==1.0.0
- matplotlib==2.1.2
- jupyter==1.0.0
- jupyter-client==5.0.1
Community Discussions
Trending Discussions on machine-learning-course
QUESTION
deleting some parts of requested href attrs in bs4
Asked 2021-Jan-19 at 20:12
I need slugs of all articles on a page. I used bs4 to get href contents of all articles, but some article's link has another URL which I don't need it. I want to delete those items. I used this code:
...ANSWER
Answered 2021-Jan-19 at 20:12If the substring to replace
is always the same, you can go without regex
like this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install machine-learning-course
You can download it from GitHub.
You can use machine-learning-course 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.
You can use machine-learning-course 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.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
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