8 results found Sort:
- Filter by Primary Language:
- Jupyter Notebook (4)
- MATLAB (2)
- Python (1)
- R (1)
- +
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
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 2 years ago
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
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.
Created
2021-01-01
386 commits to main branch, last one about a year ago
A MATLAB toolbox for classifier: Version 1.0.7
pca
spd
src
manifold
subspace
eigenfaces
sparse-coding
classification
matlab-toolbox
face-recognition
covariance-matrix
linear-regression
dictionary-learning
manifold-optimization
support-vector-machines
classification-algorithims
symmetric-positive-definite
linear-discriminant-analysis
principal-component-analysis
Created
2017-06-29
64 commits to master branch, last one about a year ago
Multi-sample Unified Discriminant ANalysis
Created
2017-10-10
82 commits to master branch, last one 3 years ago
This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
Created
2021-03-18
12 commits to main branch, last one 3 years ago
Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extraction, feature selection. CNN-based and extensive machine learni...
Created
2023-09-03
33 commits to main branch, last one 3 months ago