100 Days of ML Coding
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Updated
Nov 28, 2020
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scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
100 Days of ML Coding
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Python Data Science Handbook: full text in Jupyter Notebooks
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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.
The "Python Machine Learning (1st edition)" book code repository and info resource
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
These tests were run on s390x. s390x is big-endian architecture.
Failure log for helper_test.py
________________________________________________ TestHelperTensorFunctions.test_make_tensor ________________________________________________
self = <helper_test.TestHelperTensorFunctions testMethod=test_make_tensor>
def test_make_tensor(self): # type: () -> None
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Open Machine Learning Course
The "Python Machine Learning (2nd edition)" book code repository and info resource
For example, if there is a relationship transaction.session_id -> sessions.id and we are calculating a feature transactions: sessions.SUM(transactions.value) any rows for which there is no corresponding session should be given the default value of 0 instead of NaN.
Of course this should not normally occur, but when it does it seems more reasonable to use the default_value.
`DirectF
with the Power Transformer.
My blogs and code for machine learning. http://cnblogs.com/pinard
PipelineAI Kubeflow Distribution
Describe the bug
when axis has duplicate value , onnxruntime compute result is all same value ,which is different with expect of tensorflow
Urgency
2020.11.18
System information
Linux Ubuntu 16.04
Expected behavior
When there are duplicate values, the duplicate can be removed. j
It would be nice to add an example of using optuna with skorch. The main reason is that GridSearchCV and RandomizedSearchCV can be much too slow for certain neural networks. Optuna has the potential to be much faster.
This example could be a starting point. As to how, possibilities
Yes
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Jupyter notebooks from the scikit-learn video series
How do i resume training for text classification?
Describe the solution you'd like
Translate code from the R implementation into Python.
Describe alternatives you've considered
Consider implementing it as part of statsmodels rather than sktime and then interface it in sktime.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Our instructions only cover installation, not actually running Orange. People unfamiliar with pip/conda need this.
The instructions should be fixed in README.md and our webpage (they should be the same). Please test throughly.
#5111 is an example of what can go wrong.
https://igel.readthedocs.io/en/latest/_sources/readme.rst.txt includes a link to the assets/igel-help.gif, but that path is broken on readthedocs.
readme.rst is included as ../readme.rst in the sphinx build.
The gifs are in asses/igel-help.gif
The sphinx build needs to point to the asset directory, absolutely:
.. image:: /assets/igel-help.gif
I haven't made a patch, because I haven't
A library for debugging/inspecting machine learning classifiers and explaining their predictions
I think it could be useful, when one wants to plot only e.g. class 1, to have an option to produce consistent plots for both plot_cumulative_gain and plot_roc
At the moment, instead, only plot_roc supports such option.
Thanks a lot
Created by David Cournapeau
Released January 05, 2010
Latest release 4 months ago