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Search results for classification scikit learn
classification
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scikit-learn
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80 search results found
Orange3
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4,469
🍊 📊 💡 Orange: Interactive data analysis
Flaml
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3,500
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Machine Learning With Python
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2,980
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Practical Machine Learning With Python
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2,054
Master 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.
Auto_ml
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1,442
[UNMAINTAINED] Automated machine learning for analytics & production
Python Tutorial
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1,261
Python实用教程,包括:Python基础,Python高级特性,面向对象编程,多线程,数据库,数
Alphapy
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1,003
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Scikit Multilearn
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855
A scikit-learn based module for multi-label et. al. classification
Ecg Classification
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255
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
Imbalanced Ensemble
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234
Class-imbalanced Ensemble Learning in Python. | 类别不平衡/长尾机器学习库
Interactive_machine_learning
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132
IPython widgets, interactive plots, interactive machine learning
Python Machine Learning Book 3rd Edition
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93
<머신 러닝 교과서 3판>의 코드 저장소
Pycobra
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84
python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
Doc2vec
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82
📓 Long(er) text representation and classification using Doc2Vec embeddings
Ztdl Masterclasses
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80
Python Machine Learning
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78
D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn in Python.
Detecting Road Features
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63
Detecting Road Features: identifying lane and vehicles boundaries in a video.
The Deep Learning With Keras Workshop
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40
An Interactive Approach to Understanding Deep Learning with Keras
Fieldrnn
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39
Temporal Vegetation Classification with Recurrent Neural Networks
Python Machine Learning
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37
Python Machine Learning Algorithms
Nlp_workshop_odsc_europe20
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36
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.
Confounds
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35
Conquering confounds and covariates in machine learning
Text Classification Cn
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33
中文文本分类实践,基于搜狗新闻语料库,采用传统机器学习方法以及预训练模型等方法
Projection Pursuit
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30
An implementation of multivariate projection pursuit regression and univariate classification
Deep_learning_projects
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28
Wisconsin Breast Cancer
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27
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
Machine Learning With Scikit Learn Python 3.x
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27
In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This
Prediciting Binary Options
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25
Predicting forex binary options using time series data and machine learning
Ad Ml
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25
Framework for the reproducible classification of Alzheimer's disease using machine learning
Trajectory Analysis And Classification In Python Pandas And Scikit Learn
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25
Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.
20 Newsgroups_text Classification
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24
"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.
Ml Track
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19
This repository is a recommended track, designed to get started with Machine Learning.
Sklearn Audio Classification
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19
An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
Handwritten Math Expression Recognition
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17
Segmentation, classification and parsing of handwritten math expressions. Works with inkml format.
Text Classification Python
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17
An example of retails products classification using scikit and nltk -
Hungarian Text Mining Workshop
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15
Materials for the Text Mining workshop held in the HuNLP meetup, June 2017
Textclassificationapp
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15
Building and Deploying A Serverless Text Classification Web App
Vector_space_modelling
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14
NLP in python Vector Space Modelling and document classification NLP
Predicting Baseball Statistics
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14
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn
Machine Learning
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14
This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content
Embml
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13
A tool to support using classification models in low-power and microcontroller-based embedded systems.
Henosis
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13
A Python framework for deploying recommendation models for form fields.
Introductory Machine Learning Algorithms In Python With Scikit Learn
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12
Rf4pcc
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12
RF4PCC: Random Forest 4 Point Cloud Classification, 3DOM FBK
Swift Digits
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11
Demo app of digits classification by scikit-learn and Core ML in Swift
Chistes Nlp
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10
Workshop for NLP introduction with Spanish jokes
Genetictree
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10
Constructing decision trees with genetic algorithm with a scikit-learn inspired API
Fic Prototype
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10
Implementation of a BnsTransformer and BnsVectorizer for use with Scikit-Learn and classification of text documents.
Gas Classification
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9
Ml Helper
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9
Python library with helpers to speed up and structure machine learning projects.
Logitboost
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9
LogitBoost classification algorithm built on top of scikit-learn
Workshop Moabb Bci Graz 2019
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8
Ml Algorithms On Scikit And Keras
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8
Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..
Pytextsentiment
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8
Emotion Detection & Classification of Tweets Using Streaming APIs. [NLTK] [Scikit Learn] [Twitter Streaming API] [Bing API]
Scikit Mlm
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8
Minimal Learning Machine implementation using the scikit-learn API.
Randomforests
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8
Random Forest Library In Python Compatible with Scikit-Learn
Hands On Machine Learning
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8
Machine learning practice based on the book Hands On Machine Learning with Scikit-Learn & Tensorflow by Aurelien Geron.
Motif Classify
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8
Classify time series data using motifs discovered from Sequitur processing of SAX discretized data.
Image Classification Using Opencv And Svm
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7
Image Processing and classification using Machine Learning : Image Classification using Open CV and SVM machine learning model
Pachyderm Python
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7
An iris classification Pachyderm pipeline written in Python.
Reuters Tc
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7
Repository to perform different classification processes with the Reuters-21578 in python.
Tree Prompt
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6
Tree prompting: easy-to-use scikit-learn interface for improved prompting.
Enron_fraud
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6
Build a model to predict employees involved in Enron fraud case based on email & financial data set. Use feature selection & engineering, algorithm selection, & model selection based on F1 score, precision, & recall.
Cic Ids 2018 Intrusion Detection Classification
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6
Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the CIC IDS 2018 dataset for training Machine Learning network intrusion detection classifier models.
Napr
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6
Machine learning meets natural products
Step Detection Using Machine Learning
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6
Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.
Speakerclassifier
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6
A random forest classifier to predict the age-group and gender of a speaker from voice measurements.
Learn Scikit Learn
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6
Demonstrate how to approach a machine learning problem with the tools of scikit-learn.
Bbc_news_classification_comparison
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6
BBC News classification algorithm comparison
Ncaa 2018 Mens March Madness
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6
March Madness Predictions
Python
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6
Beta calibration
Anomaly Detection
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5
Easy to understand classification problem from a highly skewed kaggle dataset. Solved using logistic regression and SVM, code inspired from top contributor.
Scikit Multilearn Ng
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5
A new maintained "successor" to scikit-multilearn, a scikit-learn based module for multi-label et. al. classification
Machine Learning Practice
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5
Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.
Image_food_classification
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5
Deep Learning for Image-based Food Classification
Cve Search
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5
CVE-Search (name still in alpha), is a Machine Learning tool focused on the detection of exploits or proofs of concept in social networks such as Twitter, Github. It is also capable of doing related searches on Google, Yandex, DuckDuckGo on CVEs and detecting if the content may be a functional exploit, a proof of concept or simply information about the vulnerability.
Animal Behavior Challenge Abc2018
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5
Winning entry to the CodaLab Animal Behavior Challenge (ABC 2018)
Sklearn2docker
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5
Convert your trained scikit-learn classifier to a Docker container with a pre-configured API
Machine Learning
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5
Basic ML concepts in Python and R
Nac Neuron Automatic Classification
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5
Neuron-classification with Machine Learning : Development of a tool for automatic classification of biological neural signals.
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