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Apr 18, 2016 - Jupyter Notebook
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model-evaluation
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General Assembly's 2015 Data Science course in Washington, DC
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Local Interpretable Model-Agnostic Explanations (R port of original Python package)
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Feb 24, 2021 - R
Machine Learning notebooks for refreshing concepts.
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Aug 24, 2021 - Jupyter Notebook
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Feb 4, 2022 - Python
CloudCV GSoC 2021 Ideas
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Feb 26, 2022 - HTML
Measure and visualize machine learning model performance without the usual boilerplate.
python
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confusion-matrix
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Sep 7, 2021 - Python
UBC ARBERT and MARBERT Deep Bidirectional Transformers for Arabic
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ubcnlp
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Sep 2, 2021
A High-level Scorecard Modeling API | 评分卡建模尽在于此
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Mar 15, 2022 - Python
An Interactive Approach to Understanding Deep Learning with Keras
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Mar 12, 2022 - Jupyter Notebook
An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
audio
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deep-neural-networks
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audio-data
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emotion-detection
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machine-learning-tutorials
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ravdess-dataset
dnns
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Nov 5, 2020 - Jupyter Notebook
Rapid Calculation of Model Metrics
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Jul 2, 2021 - R
Use AutoAI to detect fraud
machine-learning
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pipeline
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fraud-prevention
model-evaluation
ibm-cloud
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May 7, 2021 - Jupyter Notebook
This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price
numpy
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seaborn
data-analysis
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datawrangling
polynomial-regression
model-evaluation
model-development
multiple-linear-regression
datascience-machinelearning
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Jun 13, 2021 - Jupyter Notebook
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
python
data-science
machine-learning
scikit-learn
feature-selection
artificial-intelligence
model-selection
modelling
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model-evaluation
model-training
model-tuning
predictive-modelling
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Mar 11, 2021 - Python
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Mar 12, 2022 - Python
Titus 2 : Portable Format for Analytics (PFA) implementation for Python 3.4+
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scoring-engine
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Nov 15, 2021 - Python
Solve complex real-life problems with the simplicity of Keras
python
wrapper
machine-learning
deep-learning
keras
cross-validation
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rnn
cnn-keras
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sequential-models
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Apr 18, 2019 - Jupyter Notebook
Quality Assurance for AI
testing
data-science
machine-learning
ml
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model-validation
mlops
machine-learning-testing
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ml-testing
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Mar 22, 2022 - Python
jgriesfeller
commented
Oct 18, 2021
In the Unix world it's a good practice for every program to provide an easy way of determining it's version number.
Usually that is done with a --version command line option.
The purpose for me is to determine easily on which version number I am.
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Client library to interact with Giskard
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Mar 21, 2022 - Python
The binary classification problem focused on first IEEE Image forensics challenge-phase 1, to predict the given image is pristine or manipulated/edited/fake. Comparing CNN & Transfer Learning models for the problem and boosting the performance by feature extraction
ai
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pickle
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Aug 10, 2019 - Jupyter Notebook
Analyzing the Features which leads to heart diseases and visualizing the models' performance and important features using eli5, shap and pdp.
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May 13, 2019 - Jupyter Notebook
Classifying badminton strokes based on accelorometer and gyroscope sensor data attached to player's wrist. An end-to-end Machine Learning project, from data collection and preprocessing to final model evaluation.
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Aug 11, 2020 - Jupyter Notebook
Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images
keras
splitting
dropout
classification
keras-classification-models
maxpooling
keras-neural-networks
model-evaluation
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Nov 21, 2019 - Jupyter Notebook
Solved problem of famous book in machine learning, deep learning for learners
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Jun 9, 2019 - Jupyter Notebook
Bias detection and contextual evaluation tool for your AI projects
visualization
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ai
data-analysis
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bias
model-evaluation
contextual-evaluation
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Mar 10, 2022 - Vue
This course consists of data wrangling, visualization, and decision and model evaluating.
data-science
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linear-regression
machine-learning-algorithms
pandas
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impact
zero
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Jan 25, 2019 - Jupyter Notebook
Luna ML - ML Leaderboard for your team with automatic model evaluation
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Apr 13, 2021 - Python
Personal articles and tutorials for various AI/DL/ML/DS research topics
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Nov 19, 2020 - Jupyter Notebook
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Good day everyone
I am using the output variable of my data (isKilled= yes/no) as a protected variable and “yes” as a priviliged value. But every time I run the code, I just get a few metrics calculated and get the output as shown at the end.
Metric calculation : 2/12 metrics calculated for all models ( 10 NA created )
I used the following code, so could you please suggest where is the