In this repository I have build three neural network architectures to accurately classify water bottle brands from a custom image dataset.
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Jun 30, 2024 - Jupyter Notebook
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neural-network-classifier
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Custom implementation of a neural network from scratch using Python
python machine-learning deep-learning neural-network jupyter-notebook mnist neural-networks gradient-descent backpropagation from-scratch handwritten-digit-recognition mini-batch-gradient-descent multilayer-perceptron neural-network-classifier
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Jun 27, 2024 - Python
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Sep 7, 2023 - Python
Data Mining Process for Heart Disease Patients' Data Using Python
python data-science machine-learning data-mining statistics exploratory-data-analysis data-visualization supervised-learning classification logistic-regression decision-tree-classifier heart-disease random-forest-classifier xgboost-classifier neural-network-classifier
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Oct 16, 2023 - Jupyter Notebook
In this project, I use 3 machine learning models (CART, Random Forest and ANN) to predict the claim frequency for a travel insurance firm. I also evaluate which of the three models is most suitable for our dataset.
random-forest exploratory-data-analysis variable-importance hyperparameter-optimization artificial-neural-networks auc predictive-analysis cart confusion-matrix predictive-modeling decision-tree-classifier model-evaluation classification-report multivariate-analysis random-forest-classifier gridsearchcv label-encoding univariate-analysis neural-network-classifier data-cleaning-and-preprocessing
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Jun 11, 2023 - Jupyter Notebook
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