[ASC Meetup #2] Przykład użycia sieci neuronowych do klasyfikowania branży towaru w procesie kredytu ratalnego
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Mar 15, 2019 - Jupyter Notebook
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mlp-classifier
Here are 8 public repositories matching this topic...
Collection of Machine Learning Notebook files
numpy svm linear-regression language-detection pandas seaborn lstm pca-analysis neural-networks logistic-regression matplotlib knn decision-tree k-means-clustering mlp-classifier diabetes-prediction gold-price-prediction
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Aug 12, 2023 - Jupyter Notebook
Using TensorFlow backend, multiple methods and their results to achieve best classification for CIFAR10 image dataset. Edit: I have also included a complete keras guide (Colab Notebook) to build CNN-single Layer, CNN-Multi Layer and Transfer learning based CIFAR10 classification.
deep-learning neural-network tensorflow image-classification cifar10 mlp-classifier google-colab-notebook
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Jun 13, 2019 - Jupyter Notebook
MLP Regression model to predict quantitative data
python tutorial deep-learning notebook tensorflow keras regression data-visualization data-analysis feedforward-neural-network mlp regression-models keras-tensorflow mlp-classifier machile-learning tensorflow2
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Jan 16, 2023 - Jupyter Notebook
MLP classification model
python classifier machine-learning tutorial deep-learning notebook tensorflow keras data-visualization data-analysis feedforward-neural-network mlp keras-tensorflow mlp-classifier classification-model tensorflow2 mlp-model
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May 16, 2020 - Jupyter Notebook
"Unlock the power of data science with my curated collection of Python projects—your gateway to insights, analysis, and hands-on learning! 🌟"
python data-science analytics notebook numpy regression pandas matplotlib confusion-matrix kaggle-dataset mlp-classifier streamlit
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Jan 7, 2025 - Jupyter Notebook
Repo for tracking the Jupyter notebooks work from the course assignments from the Engineering Institute of Technology's Certificate of Competency in Big Data Analytics in Electricity Grid
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Jun 16, 2021 - Jupyter Notebook
Notebook desenvolvido como avaliação da disciplina Introdução à Inteligência Artificial. O mesmo contempla partes de pré-processamento das bases de dados e o desenvolvimento dos algoritmos Multilayer Perceptron (MLP), Random Forest, K-means e Agrupamento hierárquico
machine-learning deep-learning random-forest artificial-intelligence supervised-learning unsupervised-learning hierarchical-clustering k-means-clustering mlp-classifier
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Dec 21, 2020 - Jupyter Notebook
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