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Top 6 pca-analysis open source projects

PCA and autoencoders

Dimensionality reduction

✭ 23

Jupyter Notebook pca-analysis neural-networks autoencoders

PerfSpect

system performance characterization tool based on linux perf

Stock-Trading-Using-Machine-Learning

A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.

✭ 20

python reinforcement-learning neural-network pca-analysis data-preprocessing

MachineLearning

Implementations of machine learning algorithm by Python 3

✭ 16

Jupyter Notebook python machine-learning neural-network tensorflow scikit-learn machine-learning-algorithms lstm pca-analysis pca gaussian-mixture-models mlp perceptron kmeans decision-trees gmm hmm-viterbi-algorithm perceptron-learning-algorithm fastmap

mathematics-statistics-for-data-science

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

✭ 56

r python bootstrap clustering linear-regression pca-analysis probability-distribution dimensionality-reduction monte-carlo-simulation rejection-sampling importance-sampling regression-analysis data-imputation inverse-transform-method factor-analysis-methods statistcal-tests canonical-correlation

RobustPCA

No description or website provided.

✭ 15

python scikit-learn machine-learning-algorithms pca-analysis robust-pca

1-6 of 6 pca-analysis projects