Apriori-and-Eclat-Frequent-Itemset-MiningImplementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.
Stars: ✭ 36 (+89.47%)
gpacalculatorGPA Calculator for IIITA Curriculum
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AilearningAiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
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NIDS-Intrusion-DetectionSimple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
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Machine-Learning-ModelsIn This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
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hierarchical-clusteringA Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.
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AlinkAlink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
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EvoTrees.jlBoosted trees in Julia
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simon-frontend💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻
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PyDREAMPython Implementation of Decay Replay Mining (DREAM)
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aws-compute-decision-treeA decision tree to help you decide on the right AWS compute service for your needs.
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neuromanticLatest Data Science Materials
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TurboDataMinerThe objective of this Burp Suite extension is the flexible and dynamic extraction, correlation, and structured presentation of information from the Burp Suite project as well as the flexible and dynamic on-the-fly modification of outgoing or incoming HTTP requests using Python scripts. Thus, Turbo Data Miner shall aid in gaining a better and fas…
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Nepali-News-ClassifierText Classification of Nepali Language Document. This Mini Project was done for the partial fulfillment of NLP Course : COMP 473.
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non-api-fb-scraperScrape public FaceBook posts from any group or user into a .csv file without needing to register for any API access
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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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iisInformation Inference Service of the OpenAIRE system
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Warehousing🏗️ Mod for Factorio. Store all the things! (We heard you like boxes, you packrat you!)
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ECG analysisNo description or website provided.
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bsu🎓Repository for university labs on FAMCS, BSU
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data-science-popular-algorithmsData Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
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Data-Analyst-NanodegreeThis repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.
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gosquitogosquito ("go" + "mosquito") is a pluggable tool for data gathering, data processing and data transmitting to various destinations.
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website-to-jsonConverts website to json using jQuery selectors
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Soft-Decision-TreePyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.
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PySPODA Python package for spectral proper orthogonal decomposition (SPOD).
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Decision-Tree-ImplementationA python 3 implementation of decision tree (machine learning classification algorithm) from scratch
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teanaps자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.
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GaussianNBGaussian Naive Bayes (GaussianNB) classifier
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xforestA super-fast and scalable Random Forest library based on fast histogram decision tree algorithm and distributed bagging framework. It can be used for binary classification, multi-label classification, and regression tasks. This library provides both Python and command line interface to users.
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bookworm📚 social networks from novels
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Medium-Stats-AnalysisExploring data and analyzing metrics for user-specific Medium Stats
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interpretable-mlTechniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
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heidiheidi : tidy data in Haskell
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scibloxsciblox - Easier Data Science and Machine Learning
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KaliIntelligenceSuiteKali Intelligence Suite (KIS) shall aid in the fast, autonomous, central, and comprehensive collection of intelligence by executing standard penetration testing tools. The collected data is internally stored in a structured manner to allow the fast identification and visualisation of the collected information.
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scorubyRuby Scoring API for PMML
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modelscriptREPO MOVED TO https://github.com/repetere/jsonstack-data - Data Science and Machine learning in JavaScript
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data-miningResources for the Data Mining for Bussiness and Governance course.
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multiscorerA module for allowing the use of multiple metric functions in scikit's cross_val_score
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auaAsk us anything !!
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