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machine-learning / data

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DL-ML-MLP regression -from scratch-for github.ipynb

8.47 kB

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DL-ML-artificial neuron-for github.ipynb

3.27 kB

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DL-ML-logistic function-for github.ipynb

31 kB

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DL-ML-sigmoid functions-for github.ipynb

24.7 kB

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Gram-Schmidt-ML-background.ipynb

4.22 kB

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ML-DA-continuous random variables.ipynb

54.5 kB

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ML-DA-covariance matrix- for github.ipynb

14.2 kB

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ML-DA-covariance.ipynb

6.12 kB

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ML-DA-discrete random variables and their distributions-for github.ipynb

84.8 kB

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ML-DA-divesity index-Gini impurity.ipynb

43.4 kB

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ML-DA-divesity index-entropy.ipynb

42.9 kB

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ML-DA-expected value.ipynb

65.9 kB

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ML-DA-law of total expectation.ipynb

5.47 kB

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ML-DA-variance.ipynb

4.67 kB

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ML-Gaussian mixture models with EM algorithm from scratch.ipynb

96.5 kB

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ML-Lasso with coordinate descent.ipynb

11.2 kB

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ML-MLE for multivariate normal distribution-for github.ipynb

75.9 kB

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ML-RBF network-function approximation-SGD- for github.ipynb

107 kB

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ML-RBF-interpolation-for strictly positive definite RBFs.ipynb

66.6 kB

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ML-Voronoi diagram-tessellation-for github.ipynb

53.1 kB

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ML-gradient descent for linear and ridge regression.ipynb

105 kB

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ML-linear regression with least squares.ipynb

48.4 kB

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ML-maximum likelihood estimation.ipynb

5.29 kB

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ML-mixture distributions.ipynb

120 kB

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ML-radial basis functions-RBFs.ipynb

91.9 kB

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ML-ridge regression with least squares.ipynb

52.3 kB

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ML-subgradient method for Lasso regression-elastic net.ipynb

11.1 kB

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alice_in_wonderland.txt

151 kB

Migrated from GitHub about 1 month ago
data analysis-Bayes rule-for github.ipynb

4.29 kB

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data analysis-boxplot elements-for github.ipynb

24.4 kB

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data analysis-conditional probability-for github.ipynb

3.22 kB

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data analysis-inclusion-exclusion-principle-for github.ipynb

2.95 kB

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data analysis-probability- standard terms-for github.ipynb

2.62 kB

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data analysis-probability-independent events-for github.ipynb

4.35 kB

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data visualization-Iris dataset with Blender API.ipynb

1.7 MB

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diabetes.csv

23.1 kB

Migrated from GitHub about 1 month ago
gradient and tangent planes.ipynb

52 kB

Migrated from GitHub about 1 month ago
inner product-ML- background.ipynb

4.4 kB

Migrated from GitHub about 1 month ago
iris.csv

4.61 kB

Migrated from GitHub about 1 month ago
k-means clustering-algorithm-for github.ipynb

83.7 kB

Migrated from GitHub about 1 month ago
naive bayes-categorical data-from scratch-for github.ipynb

8.47 kB

Migrated from GitHub about 1 month ago
naive bayes-continuous data-gaussian-from scratch-for github.ipynb

9.75 kB

Migrated from GitHub about 1 month ago
vector norms-ML-background.ipynb

15.6 kB

Migrated from GitHub about 1 month ago