model-performance

There are 0 repository under model-performance topic.

whylabs / whylogs
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
ai-pipelines analytics approximate-statistics calculate-statistics constraints data-constraints data-pipeline data-quality data-science dataops dataset logging machine-learning ml-pipelines mlops model-performance python statistical-properties
Language:Jupyter Notebook 2754
awesome-mlops / awesome-ml-monitoring
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀
mlops aiops dataops datascience machine-learning concept-drift data-cleaning data-drift data-management data-monitoring data-quality data-science deep-learning machine-learning-platform model-drift model-explainability model-management model-monitoring model-performance
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evidentlyai / ml_observability_course
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
data-drift data-quality data-quality-checks llmops machine-learning-operations ml-monitoring ml-observability ml-pipelines mlops model-monitoring model-performance production-machine-learning
Language:Jupyter Notebook 80
Dishant-Sharma / Data_Science_Projects
This repository comprises of the projects and assignments that i have completed during my tenure at Great Lakes for the course program PGP-AIML. This repository also includes the lab work thatwas done during the classes and even those that were given as assessments.
python-for-machine-learning statistical-learning supervised-learning unsupervised-learning ensemble-techniques feature-selection recommendation-systems hyperparameter-tuning model-performance neural-networks deep-learning computer convolutional-neural-networks advance-computer-vision statistical-nlp sequence-model-nlp gans reinforcement-learning
Language:Jupyter Notebook 5
MEDomics-UdeS / MED3pa
Python Open-source package that ensures robust and reliable ML models deployments
covariate-shift ml model-performance problematic-profiles uncertainty-quantification
Language:Python 5
JeffWang0325 / Microsoft-DAT275X-Principles-of-Machine-Learning-Python-Edition
In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using Python, and Azure Notebooks.
machine-learning artificial-intelligence microsoft azure python data-analysis data-visualization supervised-machine-learning unsupervised-machine-learning model-performance data-cleaning data-classification
Language:Jupyter Notebook 1
akshay-kamath / Sequential-sentence-classification
Built a Deep learning Model for Sequential Sentence Classification, for Converting “Harder to Read” text into “Easier to Read ” text.
ai-models data-science deep-learning machine-learning model-performance natural-language-processing nlp pubmed sentiment-analysis tensorflow text-classification textanalysis
Language:Jupyter Notebook 0
bmshah / test_repository
This repository contains an academic project developed in jupyter notebook using python language and machine learning algorithms.
k-nearest-neighbours machine-learning-algorithms model-performance multiple-linear-regression python support-vector-machines
Language:Jupyter Notebook 0
FelipenerySilva / Big-Data-and-Analytics--Project-3
Multiple Linear Regression and Logistic Regression using the Boston housing dataset
big-data-analytics classification logistic-regression machine-learning model-performance multiple-linear-regression python regression
Language:Jupyter Notebook 0
manjugovindarajan / ReCell-Supervised-Learning-
Analyze used devices dataset, build a model to develop a dynamic pricing strategy for used/refurbished devices, identify factors that significantly influence price.
exploratory-data-analysis linear-regression linear-regression-assumptions mean-absolute-error mean-square-error model-performance r2-score
Language:Jupyter Notebook 0
NatenaelTBekele / Brain-tumor-detection
Improve the speed and accuracy of detecting and localizing brain tumors based on MRI scans.
classification data-visualization hyperparameter-optimization model-performance segmentation-models
Language:Jupyter Notebook 0
PriyankaNigade1992 / Machine-Learning-Models
Projects on Machine Learning Model using Python
classification-model data-scraping data-visualization exploratory-data-analysis feature-engineering model-performance regression-models time-series-analysis anomaly-detection
Language:Jupyter Notebook 0
rishabhj29 / -SWEETGUARD-Unveiling-Your-Diabetes-Destiny-
SWEETGUARD 🛡🔍 – A data-driven diabetes risk assessment tool that leverages machine learning and public health datasets to predict individualized diabetes risk scores. Using Python 🐍, Power BI 📊, and statistical analysis, this project identifies key lifestyle factors and empowers individuals with personalized health insights.
behavioral-analytics comparitive-study excel feature-engineering model-performance powerbi predictive-modeling python3 risk-analysis statistical-analysis wrangling-data
Language:HTML 0
Abonia1 / CostPrediction
predict the rent price of a house based on its surface
linear-regression sklearn model-performance selecting-model pandas
Language:Jupyter Notebook
cbrito3 / Neural_Network_Charity_Analysis
Neural Networks and Deep Learning Models
deep-learning linear linear-activation-function machine-learning model-performance neural-network optimization optimization-algorithms relu relu-activation sigmoid sigmoid-activation tensorflow
Language:Jupyter Notebook
hanfei1986 / Yellowbrick-for-model-performance-visualization-for-classification
Yellowbrick is an useful machine learning visualization library for visualizing model performance. This Jupyter notebook gives an example for using yellowbrick to visualize model performance of a ternary classification task.
machine-learning yellowbrick model-performance
Language:Jupyter Notebook