Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
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audio noise clusteringhttps://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.
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topometryA comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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centrifuge-toolkitTool for visualizing and empirically analyzing information encoded in binary files
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Python-Machine-Learning-FundamentalsD-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.
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dropClustVersion 2.1.0 released
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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PqkmeansFast and memory-efficient clustering
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clustering-pythonDifferent clustering approaches applied on different problemsets
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HdbscanA high performance implementation of HDBSCAN clustering.
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Text Analytics With PythonLearn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
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genieclustGenie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R
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Orange3🍊 📊 💡 Orange: Interactive data analysis
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clustersCluster analysis library for Golang
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Scikit MultilearnA scikit-learn based module for multi-label et. al. classification
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Ml codeA repository for recording the machine learning code
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genieGenie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)
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Qlik Py ToolsData Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
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CoronaDashCOVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
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ML-TrackThis repository is a recommended track, designed to get started with Machine Learning.
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postsackVisually cluster your emails by sender, domain, and more to identify waste
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consul-cluster-managerConsul - based cluster manager that can be plugged into Vert.x ecosystem.
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reskitA library for creating and curating reproducible pipelines for scientific and industrial machine learning
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clinicaSoftware platform for clinical neuroimaging studies
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BM25Transformer(Python) transform a document-term matrix to an Okapi/BM25 representation
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Quora question pairs NLP KaggleQuora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training
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torch DCECPytorch Deep Clustering with Convolutional Autoencoders implementation
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BetaML.jlBeta Machine Learning Toolkit
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CrabNetPredict materials properties using only the composition information!
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simple esnsimple Echo State Networks integrated with scikit-learn
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KMeans elbowCode for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
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RAE基于tensorflow搭建的神经网络recursive autuencode,用于实现句子聚类
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algorithmsThe All ▲lgorithms documentation website.
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datascienvdatascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
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dtw-pythonPython port of R's Comprehensive Dynamic Time Warp algorithms package
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multiscorerA module for allowing the use of multiple metric functions in scikit's cross_val_score
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CubistA Python package for fitting Quinlan's Cubist regression model
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PracticalMachineLearningA collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.
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scarfToolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
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autoplaitPython implementation of AutoPlait (SIGMOD'14) without smoothing algorithm. NOTE: This repository is for my personal use.
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MachineLearningImplementations of machine learning algorithm by Python 3
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acoustic-keyloggerPipeline of a keylogging attack using just an audio signal and unsupervised learning.
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AutoTabularAutomatic machine learning for tabular data. ⚡🔥⚡
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data-science-learning📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.
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kaggledatasetsCollection of Kaggle Datasets ready to use for Everyone (Looking for contributors)
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machine learningA gentle introduction to machine learning: data handling, linear regression, naive bayes, clustering
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