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smoothing-methods

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yash0422 / Python-for-Data-Science-ML

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SUPERVISED LEARNING: REGRESSION: Linear - Polynomial - Ridge/Lasso CLASSIFICATION: K-NN - Naïve Bayes - Decision Tree - Logistic Regression - Confusion Matrix - SVM TIME SERIES ANALYSIS: Linear & Logistic Regr. - Autoregressive Model - ARIMA - Naïve - Smoothing Technique UNSUPERVISED LEARNING: CLUSTERING: K-Means - Agglomerative - Mean-Shift - F…

linear-regression naive-bayes-classifier supervised-learning logistic-regression confusion-matrix decision-trees arima ridge-regression polynomial-regression svm-classifier fuzzy-cmeans-clustering lasso-regression dbscan-clustering knn-classification mean-shift k-means-clustering agglomerative-clustering autoregressive-processes heirarchical-clustering smoothing-methods
  • Updated May 8, 2020
  • Jupyter Notebook

Priyansh2 / Spelling-and-Grammatical-Error-Correction

Star 13

Built a system from scratch in Python which can detect spelling and grammatical errors in a word and sentence respectively using N-gram based Smoothed-Language Model, Levenshtein Distance, Hidden Markov Model and Naive Bayes Classifier.

nlp machine-learning hmm naive-bayes levenshtein-distance spellchecker hmm-viterbi-algorithm ngram-language-model smoothing-methods grammatical-error-detection
  • Updated Jul 4, 2021
  • Jupyter Notebook

caiselvas / language-identification

Star 1

An NLP project leveraging character trigrams and smoothing techniques (Lidstone, Linear Discounting, Absolute Discounting) for language identification. Trained on for Spanish, Italian, English, French, Dutch, and German, achieving 99.8932% accuracy. Includes datasets, model parameters, and comprehensive documentation.

nlp natural-language-processing language-identification trigram-model language-identifier smoothing-methods
  • Updated Mar 4, 2024
  • Jupyter Notebook

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