text-classification-cn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
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Mutual labels: text-classification, svm, scikit-learn
Artificial Adversary🗣️ Tool to generate adversarial text examples and test machine learning models against them
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Mutual labels: data-mining, text-classification
SktimeA unified framework for machine learning with time series
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Mutual labels: data-mining, scikit-learn
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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Mutual labels: data-mining, scikit-learn
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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Mutual labels: data-mining, svm
RmdlRMDL: Random Multimodel Deep Learning for Classification
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Mutual labels: data-mining, text-classification
ShallowlearnAn experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
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Mutual labels: text-classification, scikit-learn
Python Machine Learning BookThe "Python Machine Learning (1st edition)" book code repository and info resource
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Mutual labels: data-mining, scikit-learn
Pyss3A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI
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Mutual labels: data-mining, text-classification
Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
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Mutual labels: data-mining, scikit-learn
multiscorerA module for allowing the use of multiple metric functions in scikit's cross_val_score
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Mutual labels: data-mining, scikit-learn
Algorithmic-TradingAlgorithmic trading using machine learning.
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Kaggle-project-listSummary of my projects on kaggle
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Mutual labels: data-mining, text-classification
Text ClassificationMachine Learning and NLP: Text Classification using python, scikit-learn and NLTK
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Mutual labels: text-classification, scikit-learn
Text mining resourcesResources for learning about Text Mining and Natural Language Processing
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Mutual labels: data-mining, text-classification
kenchiA scikit-learn compatible library for anomaly detection
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Doc2vec📓 Long(er) text representation and classification using Doc2Vec embeddings
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Mutual labels: text-classification, scikit-learn
Ml ProjectsML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
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Mutual labels: text-classification, svm
Model Describermodel-describer : Making machine learning interpretable to humans
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Mutual labels: data-mining, scikit-learn
