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Speech_Signal_Processing_and_Classification gionanide

63

232

mit

10

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem emplo...

nlp mfcc nltk isomap classifier kernel-pca speech-utterance speech-processing feature-extraction spectral-embedding spectral-clustering long-short-term-memory gaussian-mixture-models support-vector-machines locally-linear-embedding natural-language-processing linear-discriminant-analysis principal-component-analysis linear-prediction-coefficients

Created 2018-03-16

197 commits to master branch, last one about a year ago

Machine_Learning arnaldog12

65

210

mit

24

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

knn kmeans python adaboost regression naive-bayes decision-trees neural-network machine-learning feature-selection linear-regression logistic-regression polynomial-regression multilinear-regression redes-neurais-artificiais machine-learning-algorithms linear-discriminant-analysis principal-component-analysis

Created 2017-05-17

69 commits to master branch, last one 2 years ago

machine-learning je-suis-tm

49

208

apache-2.0

4

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Ma...

dbscan naive-bayes em-algorithm newton-method factor-analysis lasso-regression ridge-regression k-nearest-neighbors batch-gradient-descent low-rank-approximation support-vector-machine multinomial-naive-bayes expectation-maximization latent-semantic-analysis stochastic-gradient-descent linear-discriminant-analysis singular-value-decomposition independent-component-analysis sequential-minimal-optimization expectation-maximization-algorithm

Created 2018-04-05

345 commits to master branch, last one about a year ago

35

104

unknown

3

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

lda scala kmeans python3 xgboost lda-model datascience decision-tree machine-learning movie-recommender recommendation-system data-science-portfolio linear-discriminant-analysis

Created 2021-01-01

386 commits to main branch, last one 5 months ago