- Munich, Germany
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Prototype_Selection Public
Prototype Selection for Interpretable Classification
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Time-Series-Analysis-Bitcoin Public
Time Series analysis using Deep Neural Network
machine-learning deep-neural-networks exploratory-data-analysis supervised-learning stock-price-prediction time-series-analysisJupyter Notebook UpdatedNov 3, 2022 -
MNIST-Using-Jupyter-Notebook Public
Classification of MNIST dataset using Jupyter Notebook without and with hidden layer.
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Sentiment-Analysis-McDonalds Public
A sentiment analysis of negative McDonald's reviews.
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Prototype based vector quantization covers a whole group of algorithms designed for clustering and data compression.
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CNN_MNIST Public
Training Neural Network to solve classification problem of MNIST Hand Written Digits.
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k-Nearest-Neighbor Public
The k-nearest neighbors (KNN) algorithm is a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classification and regression problems.