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Focusing on A.I., ML and Deep Learning
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Focusing on A.I., ML and Deep Learning

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  1. XgBoost-Evaluate-Data-Features-Machine-Learning Public

    This code uses innovative XgBoost Machine learning algorithm that analyze data features and evalute it's importances in order to make data driven solutions in real estate. © Vytautas Bielinskas

    Python 1 1

  2. Ensemble-Learning-Testing-Classifiers Public

    Testing and Exploration of Ensemble Learning with poor dataset (66 obs). Results are provided at the end of the Notebook.

    Jupyter Notebook 1

  3. Tensorflow-ANN-TimeSeries-Forecasting-Weather Public

    This notebook demonstrates how to implement Tensorflow & queries to forecasting for a very big dataset. ANN with 2 hidden layers has been used for ANN. The data shifting technique has been used to …

    Jupyter Notebook 9 2

  4. AnomaliesDetection-with-TimeSeriesAnalysis Public

    This is an experimental of anomalies detection by applying different approach to the problem. PCA component regularization method, K-Mean Clustering, SVM and Gausian Distribution models has been us…

    Jupyter Notebook 21 9

  5. Deep-Learning---Recognize-Infected-Cells-by-Malaria--Adam--Sigmoid- Public

    The project contain folders for labeled infected and non-infected cells by malaria. The code define an 4 layers ANN that learning to recognize infected cells by a given shuffled examples from worki…

    Python 1

  6. Pneumonia-X-Rays-of-Human-Lungs-AI-project Public

    This projects includes both back-end (Keras, Flask with dependencies) and front-end/deployement (HTML, CSS, JS) parts. The project perform X-rays of human lungs classifiaction using Convolutional N…

    Jupyter Notebook 31 29

8 contributions in the last year

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Activity overview

Loading A graph representing vb100's contributions from April 07, 2024 to April 10, 2025. The contributions are 100% commits, 0% issues, 0% pull requests, 0% code review.   Code review   Issues   Pull requests 100% Commits

Contribution activity

April 2025

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