Datastream.ioAn open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
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Mutual labels: datascience, machinelearning, anomalydetection, anomaly-detection
Data-Scientist-In-PythonThis repository contains notes and projects of Data scientist track from dataquest course work.
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Mutual labels: machine-learning-algorithms, datascience, machinelearning
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Awesome Anomaly DetectionA curated list of awesome anomaly detection resources
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BoostarootaA fast xgboost feature selection algorithm
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comet-for-mlflowComet-For-MLFlow Extension
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DGFraud-TF2A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
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Mutual labels: datascience, anomaly-detection
SoomvaarSoomvaar is the repo which 🏩 contains different collection of 👨💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥
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vlainic.github.ioMy GitHub blog: things you might be interested, and probably not...
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awesome-conformal-predictionA professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
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artificial neural networksA collection of Methods and Models for various architectures of Artificial Neural Networks
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Statistical-Learning-using-RThis is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
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densratio pyA Python Package for Density Ratio Estimation
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xgboost-smote-detect-fraudCan we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!
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Heart disease predictionHeart Disease prediction using 5 algorithms
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RcppDynProgDynamic Programming implemented in Rcpp. Includes example partition and out of sample fitting applications.
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datascience-mashupIn this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.
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