univariate-distributions

There are 0 repository under univariate-distributions topic.

mohd-faizy / Probabilistic-Deep-Learning-with-TensorFlow
Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.
bernoulli-distribution binomial-distributions deep-probabilistic-models keras machine-learning multivariate-distributions poisson-distribution probabilistic-deep-learning probabilistic-layers probabilistic-programming tensorflow tensorflow-probability tensorflow2 tfp univariate-distributions
Language:Jupyter Notebook 61
sameeravithana / MDN
Keras layer for Mixture Density Network (MDN)
mixture-density-networks keras-tensorflow machine-learning univariate-distributions
Language:Python 2
hexhead / univariate_distributions
Univariate Statistics implemented the hard way: from math expressions to R code
statistical-analysis r univariate-distributions mathematical-expressions distributions probability toy-project
Language:R 1
AmberFeltner / ExploratoryDataAnalysis-Python
Exploratory Data Analysis
bivariate-analysis chi-square-test hypothesis-testing python univariate-distributions
Language:Jupyter Notebook 0
faysal37 / titanic_hosted_by_kaggle
A Comprehensive Guide to Titanic Machine Learning from Disaster
univariate-distributions feature-engineering outlier-detection imputation bivariate-analysis multivariate-analysis data-transformation model-training cross-validation hyperparameter-tuning model-selection feature-importance learning-curve confusion-matrix precision recall f1-score classification-report precision-recall-curve auc-roc-curve
Language:Jupyter Notebook 0
JoelTrent / UnivariateUnimodalHighestDensityRegion.jl
Computing the highest density region of a univariate, unimodal distribution in Julia
univariate-distributions highest-density-region
Language:Julia 0
meganzj / harvard_probability_110
univariate-distributions multivariate-distributions limit-laws markov-chains mcmc
0
karnav279 / advanced-quality-control-project
This project includes framework for creating multivariate process monitoring control charts, identifying out-of-control points and removing the out-of-control data points (All the iterations are identified automatically by a loop and removed). The project also gives reader an idea of the approach followed for dimension reduction using PCA.
dimensionality-reduction multivariate-statistics principal-component-analysis univariate-distributions multivariate-cusum t2-chart
Language:R
rebeccak1 / wine-quality-R
White Wine Exploratory Analysis
r univariate-distributions bivariate-analysis multivariate-analysis wine-quality exploratory-data-analysis
Language:HTML
StatisKit / Core
A Collection of Basic Utilities for Statistical Analyses
discrete-distributions continuous-distributions categorical-distributions univariate-distributions multivariate-distributions mixture-model parametric-distributions cpp python dataframe
Language:C++