DigimonFrankie/Projects

Data Science Projects.

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kanavgoyal898/hideNet

By recursively splitting images into odd and even pixel subsets, hideNet creates a multi-resolution representation that can be effectively encoded and later reconstructed using learned generative models.

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Kh0uloud/Modeling-Mental-Health-Trends-Using-Social-Media-Data

This project explores the intersection of social media analytics, user behavior modeling, and mental health assessment using a data-driven AI approach. Leveraging both structured metadata and unstructured textual data, a robust regression model is developed to estimate depression intensity from Twitter user profiles, interactions, and content.

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miguelmoralh/feature-selection-benchmark

Comprehensive benchmark study of feature selection techniques for predictive machine learning models on tabular data. Various feature selection methods are evaluated across different data characteristics and predictive scenarios.

Language: Python - Size: 26.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

ruoheng-du/applied-machine-learning

Applied Machine Learning | Fall 2024

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SonghuaHu-UMD/Explainable_AI_Comparison

Language: Python - Size: 16.7 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 3

eth-sri/drs

[NeurIPS 2022] (De-)Randomized Smoothing for Decision Stump Ensembles

Language: Terra - Size: 4.14 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

point-de-vyu/data-analytics-projects

Data Science portfolio

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Muddaj/Portfolio-case-3

A repository for project 2.

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numanwaziri/EEG-Schizophrenia-Detection

This project uses EEG data to detect schizophrenia, achieving a robust classifier with LGBM, boasting a ROC AUC of 95.96% and an accuracy of 90%

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hanfei1986/Tree-based-and-neural-network-regressors

Usually tree-based and neural network regressors work better for regression tasks than linear regression models, because they can capature complex or subtle non-linear patterns in data.

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romrawinjp/mn-mat-dis

Project page for "Physics-informed graph neural networks accelerating microneedle simulations towards novelty of micro-nano scale materials discovery" as a part of Romrawin Chumpu's master thesis and publication.

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kyosek/CFXplorer

CFXplorer generates optimal distance counterfactual explanations for a given machine learning model.

Language: Python - Size: 982 KB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 1

MortenBlorstad/StableTrees

Tree-based models are appealing for price modeling due to their high performance but they can be unstable. Due to competition between insurers, unstable models increase the risk that the overall premium is too small to cover the losses. The thesis propose various strategies for improving the stability of tree-based models.

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dilshvn/datacamp-machine-learning-with-tree-based-models-in-python

datacamp machine learning with tree-based models in python course content

Language: Python - Size: 200 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Chinmaya-3141/Machine-Learning-with-Hyperopt-on-Emissions-Data

Project started as submission for MSE course at Praxis Business School, then further worked upon to implement machine learning models with hyperparameter tuning.

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