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CRISP DM

Proyectos

Machine Learning (UCU)

Breast Cancer FNA Breast Cancer Skeletal Remains TEA
Introduction RM RM RM
Dataset RM RM RM RM RM RM
Attributes RM RM RM RM RM RM RM RM RM RM RM
Missing Values RM RM RM RM RM RM RM RM RM RM RM RM
Outliers RM RM RM RM RM RM RM RM RM RM RM RM RM RM
Correlation RM RM RM RM RM RM RM RM
Linear Regression RM RM RM
Logistic Regression RM RM
CART RM RM
Support Vector Machine RM RM
K Nearest Neighbor RM RM RM RM RM
Naive Bayes RM RM RM RM RM RM
K-Means RM RM RM RM
DBSCAN RM RM RM RM
Hierarchical Clustering RM RM
PC Analysis RM RM RM RM
Ensembles RM RM
Bagging RM RM
Random Forest RM RM
AdaBoost RM RM
ROC Comparison RM RM

Curso Postgrado Deep learning for computer vision (Fing)

Algoritmo Implementación Pruebas
K-NN PY PY
Softmax PY JN
Stochastic Gradient Descent PY
ANN PY PY
Feature Extraction PY
Batch Normalization PY
Convolutinal Networks PY PY
Dropout PY
Fully Connected Nets PY PY
Tensorflow PY
Tensorflow PY
Tensorflow PY
Tensorflow PY
Tensorflow PY

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