ml经典机器学习算法的极简实现
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osm-data-classificationMigrated to: https://gitlab.com/Oslandia/osm-data-classification
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MachineLearningImplementations of machine learning algorithm by Python 3
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deepvismachine learning algorithms in Swift
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AnnA Anki neuronal AppendixUsing machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity
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models-by-exampleBy-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
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Clustering-PythonPython Clustering Algorithms
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VizukaExplore high-dimensional datasets and how your algo handles specific regions.
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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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faiss-rubyEfficient similarity search and clustering for Ruby
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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 In RWorkshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
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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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clustering-pythonDifferent clustering approaches applied on different problemsets
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100DaysOfMLCodeNo description or website provided.
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sagemaker-xgboost-containerThis is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.
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kmeans1d⭐ A Python package for optimal 1D k-means clustering.
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