A fast, robust Python library to check for offensive language in strings.
scikit-learn sklearn python3 bag-of-words profanity profanity-detection profanity-filter offensive-language linear-svm profanity-library
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- Python
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linear-svm
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A cluster of Machine Learning algorithms
machine-learning random-forest linear-regression machine-learning-algorithms neural-networks logistic-regression svm-classifier multivariate-regression univariate-regressions id3-algorithm linear-svm navie-bayes-algorithm candidate-elimination knn-algorithm multiclass-svm weighted-knn find-salgorithm kernal-svm
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- Jupyter Notebook
Detecting hate speech using the spoken content of videos using Machine Learning
python machine-learning deep-learning random-forest naive-bayes rnn roc-curve hate-speech linear-svm google-speech-to-text
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- Jupyter Notebook
Tour of Machine Learning Algorithms for Binary/Multiclass Classification
random-forest svm naive-bayes logistic-regression multi-layer-perceptron decision-tree binary-classification k-nn quadratic-discriminant-analysis multiclass-classification voting-classifier linear-svm rbf-svm
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- Jupyter Notebook
Wrapper on top of liblinear-tools
machine-learning classification logistic-regression l2-regularization liblinear linear-svm ocaml-program lrl2 linear-svr
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- OCaml
Android malware detection from static features with ML classification algorithms- Decision Tree, K-Nearest Neighbours, Linear SVM and Random Forest.
machine-learning jupyter-notebook classification decision-tree-classifier linear-svm random-forest-classifier knn-classifier
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- Jupyter Notebook
Using deep learning and transfer learning techniques to differentiate plain roads and those with potholes using three different classifiers to obtain the best accuracy with the same convolutional base
machine-learning deep-learning svm scikit-learn cnn performance-metrics convolutional-neural-networks transfer-learning vgg16 svm-model cnn-keras svm-classifier fully-connected-network linear-svm global-average-pooling cnn-classification detection-model plotting-performance-graphs pothole-detection
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- Jupyter Notebook
Forest cover type classification/detection using linear support vector machine implemented with gradient descent (from scratch)
machine-learning python3 gradient-descent support-vector-machines from-scratch svm-classifier linear-svm forest-cover
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- Python
SMS spam detection pipeline: dual TF-IDF (word+char) → calibrated Linear SVM, nested CV + threshold tuning (F1) + explainability + robustness tests.
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- Jupyter Notebook
Twitter Sentiment Analysis (Ml hackathon)
python sentiment-analysis hackathon sklearn wordcloud twitter-sentiment-analysis f1-score linear-svm
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- Jupyter Notebook
Semantic Enrichment, Data Augmentation and Deep Learning for Boosting Invoice Text Classification Performance: A Novel Natural Language Processing Strategy
deep-learning text-classification bert short-text bi-lstm multi-class-classification glove-embeddings linear-svm text-cleaning wordnet-library bert-embeddings text-data-augmentation semantic-enrichment
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Face detection using Facial Landmark prediction and Comparision of standard emotion recognition algorithms
scikit-learn landmark-detection polynomial-regression facial-landmarks linear-svm dlib-face-detection fisherface-algorithms
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- Jupyter Notebook
Syracuse University, Masters of Applied Data Science - IST 736 Text Mining
text-mining naive-bayes neural-networks topic-modeling decision-trees twitter-sentiment-analysis support-vector-machines sentiment-classification multinomial-naive-bayes text-vectorization linear-svm k-nearest-neighbor benoulli-naive-bayes
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- Jupyter Notebook
Package provides javascript implementation of support vector machines
support-vector-machines kernels binary-classification multi-class-classification linear-svm kernel-svm
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- JavaScript
Performed feature selection using F-score method to filter out the important features in order to optimize the performance of Linear SVM machine learning model. The accuracy achieved was above 63%.
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- Python
This repository demonstrates a complete machine learning workflow for banknote authentication using a hand coded Linear SVM model. It includes data preparation, training loop design, vectorized computation of gradients, model metrics, and a visualization module based on two selected features.
python machine-learning-algorithms ml classification support-vector-machines svm-classifier linear-svm banknote-authentication
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- Jupyter Notebook
Prediction of diabetes health indicators for machine learning class final project
data-science machine-learning rbf-kernel linear-regression logistic-regression perceptron support-vector-machines multi-layer-perceptron decision-tree-classifier gradient-boosting lasso-regression multinomial-naive-bayes linear-svm diabetes-prediction
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- Jupyter Notebook
Statistical Pattern Recognition (classic machine learning)
kde linear-regression histogram pca logistic-regression kmeans ova lda gmm regression-models knn softmax-regression linear-svm ovo qda fisher-lda non-linear-svm beyesian-classifiers
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- Jupyter Notebook
Iris Species Classification usin various ML models.
random-forest naive-bayes-classifier decision-tree iris-dataset voting-classifier linear-svm knn-classifier extra-trees-classifier gradient-boosted-trees rbf-svm adaboost-classifier
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- Jupyter Notebook
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