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sandipanpaul21 / Logistic-regression-in-python

Star 13

Logistic Regression technique in machine learning both theory and code in Python. Includes topics from Assumptions, Multi Class Classifications, Regularization (l1 and l2), Weight of Evidence and Information Value

logistic-regression regularization information-value weight-of-evidence ridge-regression l2-regularization lasso-regression multiclass-logistic-regression l1-regularization elastic-net-regression logistic-regression-assumptions
  • Updated Dec 22, 2021
  • Jupyter Notebook

the-lans / NeuroRepository

Star 11

Фреймворк для построения нейронных сетей, комитетов, создания агентов с параллельными вычислениями.

qt framework qtcreator mse qt5 dropout neural-networks trade std backpropagation csv-export neural-nets l2-regularization backpropagation-algorithm neuronal-network backprop neuralnetworks backpropagation-neural-network crossentropy
  • Updated Aug 18, 2020
  • C++

mansipatel2508 / Network-Intrusion-Detection-with-Feature-Extraction-ML

Star 10

The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.

feature-selection rfc feature-extraction confusion-matrix roc-curve binary-classification l2-regularization network-intrusion-detection multiclass-classification feature-importance l1-regularization rfe pearson-correlation-coefficient fclassif select-percentile extrat-tree-classifier
  • Updated Aug 10, 2019
  • Jupyter Notebook

DunittMonagas / Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

Star 4

Curso Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. Segundo curso del programa especializado Deep Learning. Este repositorio contiene todos los ejercicios resueltos. https://www.coursera.org/learn/neural-networks-deep-learning

tensorflow dropout batch-normalization momentum gradient-descent hyperparameter-tuning l2-regularization rmsprop stochastic-gradient-descent adam-optimizer mini-batch-gradient-descent gradient-check
  • Updated Jan 11, 2019
  • Jupyter Notebook

KanishkNavale / Text-Mining-with-TF-IDF-and-Cosine-Similarity

Star 2

A simple python repository for developing perceptron based text mining involving dataset linguistics preprocessing for text classification and extracting similar text for a given query.

machine-learning text-mining text-classification optimization linguistics nltk tf-idf perceptron l2-regularization tokenization lemmatization cosine-similarity-scores information-retreival torch-sparse-matrix
  • Updated Mar 25, 2022
  • Jupyter Notebook

shouryasimha / Ships-In-Satellite-images

Star 1

Satellite imagery provides unique insights into various markets, including agriculture, defense and intelligence, energy, and finance. New commercial imagery providers, such as Planet, are using constellations of small satellites to capture images of the entire Earth every day. This flood of new imagery is outgrowing the ability for organization…

visualization training dropout vgg16 imagery keras-neural-networks l2-regularization ships resnet-50 satellite-images
  • Updated Jan 16, 2020
  • Jupyter Notebook

saminheydarian / DeepLearning_Course_2021

Star 1

Deep Learning Course | Home Works | Spring 2021 | Dr. MohammadReza Mohammadi

time-series cnn batch-normalization naive-bayes-classifier rnn image-captioning logistic-regression deep-q-network backpropagation data-augmentation seq2seq-model l2-regularization triplet-loss facial-expression-recognition adam-optimizer fine-tuning sgd-optimizer self-supervised-learning spaceinvaders-v0 pretext-task
  • Updated Feb 24, 2022
  • Jupyter Notebook

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