Skip to content
#

cross-validation

Star

Here are 460 public repositories matching this topic...

Language: All
Filter by language
All 460 Jupyter Notebook 172 Python 121 R 65 HTML 22 MATLAB 20 PHP 10 Java 8 JavaScript 6 C++ 4 C 3
Sort: Best match
Sort options
Best match Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

RubixML / RubixML

Star
Open

Dynamic column width of Dataset string representation

5
andrewdalpino
andrewdalpino commented Jun 19, 2020

String representations of dataset objects are used for previewing their contents from the terminal. When converting a Dataset object to a string, we build a table using ascii characters. The current table has fixed width columns that do not take full advantage of the terminal real estate if the dataset only contains a few columns.

echo $dataset;

<img width="574" alt="Annotation

Read more
enhancement good first issue help wanted

sraashis / deepdyn

Star

machine-learning computer-vision graph-algorithms cross-validation pytorch convolutional-neural-networks unet vessel-segmentation image-procesing multiple-gpu u-net pytorch-implementation fundus-image pytorch-vizualization retinal-vessel-segmentation universal-pytorch-framework centralized-image-processing custom-data-loader-pytorch custom-dataloader
  • Updated Oct 27, 2020
  • Jupyter Notebook

sharmaroshan / Twitter-Sentiment-Analysis

Star

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

nlp machine-learning sentiment-analysis cross-validation eda data-visualization wordcloud classification data-analysis bag-of-words hashtags evaluation-metrics count-vectorizer datacleaning
  • Updated May 14, 2019
  • Jupyter Notebook

PacktWorkshops / The-Deep-Learning-with-Keras-Workshop

Star

An Interactive Approach to Understanding Deep Learning with Keras

machine-learning tensorflow scikit-learn keras cross-validation regression classification artificial-neural-networks logistic-regression regularization support-vector-machine vectors decision-trees hyperparameter-tuning model-evaluation magnetic-resonance-imaging k-means-clustering model-tuning scalars linear-transformation
  • Updated Sep 25, 2020
  • Jupyter Notebook

farhanchoudhary / Machine_Learning_A-Z_All_Codes_and_Templates

Star

All codes, both created and optimized for best results from the SuperDataScience Course

natural-language-processing reinforcement-learning deep-learning clustering cross-validation naive-bayes-classifier thompson-sampling neural-networks classification dimensionality-reduction grid-search principal-component-analysis clustering-algorithm upper-confidence-bounds k-fold xgboost-algorithm association-rule-learning machine-learning-az
  • Updated Nov 5, 2017
  • Python

Improve this page

Add a description, image, and links to the cross-validation topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the cross-validation topic, visit your repo's landing page and select "manage topics."

Learn more

You can’t perform that action at this time.