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Projects in Awesome Lists tagged with hyperparameter-optimization

A curated list of projects in awesome lists tagged with hyperparameter-optimization .

https://github.com/sarahloree/project-3--credit-card-user-churn-prediction

This is the third project I completed as part of the Advanced Machine Learning module from my post-graduate certification in AI/ Machine Learning from University of Texas' McCombs School of Business.

bagging bagging-classifier boosting boosting-classifier cross-validation datapreprocessing eda exploratory-data-analysis hyperparameter-optimization hyperparameter-tuning random-forest random-forest-classifier sampling smote

Last synced: 24 Feb 2025

https://github.com/ledsouza/machine-learning-client-satisfaction

Este projeto tem como objetivo construir um modelo de Machine Learning capaz de prever a satisfação de clientes de uma companhia aérea.

cross-validation hyperparameter-optimization machine-learning machine-learning-algorithms mlxtend one-hot-encoding pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/byteb8/hypertuning

Different techniques to tune the hyperparameter of machine learning models.

bayesian-optimization gridsearchcv hyperopt hyperparameter-optimization hyperparameter-tuning optuna randomizedsearchcv

Last synced: 16 Aug 2025

https://github.com/arlindkadra/dpl

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

hpo hyperparameter-optimization learning-curve-prediction multi-fidelity scaling-laws

Last synced: 04 Oct 2025

https://github.com/sayamalt/e-commerce-text-classification

Successfully established a machine learning model that can accurately classify an e-commerce product into one of four categories, namely "Books", "Clothing & Accessories", "Household" and "Electronics", based on the product's description.

categorical-encoding cross-validation exploratory-data-analysis hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation text-classification text-preprocessing text-vectorization

Last synced: 09 Nov 2025

https://github.com/sayamalt/wine-quality-prediction

Successfully established a supervised machine learning model which can predict the quality of a wine to a high level of accuracy based on a certain set of features associated with the chemical properties and characteristics of that specific wine.

exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-training-and-evaluation multiclass-classification supervised-machine-learning

Last synced: 09 Nov 2025

https://github.com/tanyachutani/hyperparameter-optimization

Implementing different approaches of hyperparameter optimization including random search and bayesian optimization

bayesian-optimization hyperparameter-optimization keras-tuner random-search tensorflow

Last synced: 15 Apr 2026

https://github.com/sayamalt/concrete-strength-prediction

Successfully developed a machine learning model which can accurately predict the strength of cement based on various features such as blast furnace slag, water, coarse aggregate, etc.

cross-validation data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation regression-models

Last synced: 09 Nov 2025

https://github.com/mehdidc/codeopt

hyper-parameter optimization directly from code

hyperparameter-optimization machine-learning

Last synced: 02 Aug 2025

https://github.com/npow/metaflow-optuna

Parallel hyperparameter tuning for Metaflow with true adaptive TPE — no sequential bottleneck

hyperparameter-optimization hyperparameter-tuning machine-learning metaflow mlops optuna parallel-training python tpe

Last synced: 02 Mar 2026

https://github.com/dynamical-inference/ituna

🐟 ituna – tune machine learning models for empirical identifiability and consistency

hyperparameter-optimization hyperparameter-tuning identifiability pytorch sklearn

Last synced: 04 Mar 2026

https://github.com/pszemraj/phasesweep

YAML-driven phase-chained hyperparameter sweeps with Optuna: each phase's winner is set for all following sweeps [of other params]

hyperparameter-optimization hyperparameter-search ml-experimentation ml-experiments optuna orchestration yaml-configuration

Last synced: 21 Jun 2026

https://github.com/hk669/hyperparameter-optimization

The AdaBoost algorithm is an ensemble learning method that combines multiple weak learners (base estimators) to create a stronger predictive model.

adaboostclassifier decision-trees decisiontreeclassifier entropy gini-index hyperparameter-optimization hyperparameter-tuning

Last synced: 03 Jan 2026

https://github.com/zhangxjohn/optuna-learn

Tuning hyper-parameters based on Optuna is as easy as using scikit-learn.

hyperparameter-optimization mechine-learing optuna python

Last synced: 23 Feb 2025

https://github.com/rakibhhridoy/breastcanceranalysis-classificationclustering

Breast cancer prediction both in classification and clustering method for better understanding the data. Though clustering is different from classification,to finding the key aspect the data have,sometimes we need every possible way to catch behavior of the data.

breast-cancer-prediction breastcancer-classification classification classification-algorithm clustering eda hyperparameter-optimization machine-learning python scikit-learn supervised-learning unsupervised-learning

Last synced: 14 Apr 2026

https://github.com/louis-alexandre-laguet/rain-prediction-dl-ml

This project aims to predict rainfall using machine learning and deep learning models. It includes data analysis, preprocessing, and the application of algorithms like Logistic Regression, SVM, Random Forest, and deep learning models like LSTM for the Kaggle Rain Prediction Challenge.

classification data-preprocessing deep-learning hyperparameter-optimization imbalanced-data kaggle-challenge logistic-regression lstm machine-learning pytorch pytorch-lightning rain-prediction random-forest svm weather-prediction

Last synced: 28 Apr 2026

https://github.com/mwasifanwar/automl_framework

Comprehensive AutoML framework that automates data preprocessing, feature engineering, model selection, hyperparameter tuning, and deployment. Features neural architecture search and automated data cleaning pipelines.

automl automl-algorithms data-science data-science-projects feature-engineering feature-engineering-algorithm feature-engineering-ml hyperparameter-optimization machine-learning machine-learning-algorithms machine-learning-models mlops mlops-workflow python scikit-learn scikit-learn-python

Last synced: 07 May 2026

https://github.com/pngo1997/neural-network-modifications-hyperparameter-experiments

Modifies a neural network's hyperparameters, activation functions, cost functions, and regularization methods to improve training performance and generalization.

activation deep-learning dropout-rates epoch hyperparameter-optimization leaky-relu neural-network neural-network-training python regularization relu sigmoid-function tanh

Last synced: 15 May 2026

https://github.com/seungjaelim/automated_machine_learning

2022F SoC Co-op AutoML Pre-training in Agent Machine Learning Lab with Prof.Sungjin Ahn in 2022 Summer

automl-algorithms automl-api hyperparameter-optimization machine-learning neural-architecture-search

Last synced: 22 Jun 2025

https://github.com/kaymen99/geneticalgorithms-for-ai-optimization

Using genetic algorithms for optimizing machine/deep learning models : features selection, hyper parameters tuning.

deep-learning feature-selection genetic-algorithms hyperparameter-optimization machine-learning neural-architecture-search optimization-algorithms

Last synced: 16 Mar 2025

https://github.com/hk669/world-happiness-report

The World Health Report provides comprehensive data on various health-related factors from different countries around the world.

decision-tree-regression hyperparameter-optimization python world-happiness-prediction world-happiness-report

Last synced: 18 May 2026

https://github.com/jmejia8/hypertuning-examples

This repository contains some examples of the HyperTuning a Julia package for the automated hyperparameter tuning.

hyperparameter-optimization julia optimization

Last synced: 20 Jun 2026

https://github.com/arlindkadra/dyhpo

[NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations

deep-kernel-gps deep-learning hyperparameter-optimization multi-fidelity

Last synced: 24 Mar 2025

https://github.com/qetdr/xautoml-project1

Automated Machine Learning Framework for predicting drinking water quality

automated-machine-learning classification hpo hyperparameter-optimization model-testing python

Last synced: 13 Apr 2026

https://github.com/papjoin/supervised-learning-class-dropout

Evaluating student demographics, engagement and performance metrics for predicting dropout likelihood using supervised learning - Neural Networks & Decision Trees.

classification-model dropout-probability hyperparameter-optimization keras-tensorflow sklearn student-score-prediction supervised-learning-algorithms xgboost-classifier

Last synced: 07 Oct 2025

https://github.com/sputnik792/dmp_quick_analysis_ml

A Flask-based visualization tool I designed to streamline the process of ML model training and data analysis using clinical/health EMR datasets

classifiers flask hyperparameter-optimization machine-learning machine-learning-algorithms regression sklearn

Last synced: 07 May 2026

https://github.com/ibtissem-hamani/hyperparameters_optimization_app

This APP allows you to classify a Lansat-8 image with Random Forest, Cart or Svm with the best HyperParameters with and without texture

cart cross-validation google googleearthengine hyperparameter-optimization optimization optimization-algorithms optimizer random-forest svm

Last synced: 07 Oct 2025

https://github.com/jekyllstein/hordopt.jl

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates https://arxiv.org/abs/1607.08316

deep-learning-algorithms hyperparameter-optimization

Last synced: 18 Jan 2026

https://github.com/iddiegod/telecomchurnclassification

🚀 My Telecom Churn Analysis Repository Welcome to my Telecom Churn Analysis repository, where I fuse data science with strategic thinking to unveil the intricacies of customer churn in the telecommunication industry. 🌐📲 Leveraging advanced machine learning techniques, I embark on a journey to decode patterns in customer behavior

azubi hyperparameter-optimization hyperparameter-tuning hypothesis-testing jupyter-notebooks machine-learning python3

Last synced: 16 May 2026

https://github.com/ztrimus/deep-learning-specialization

This is a five-course specialization offered by deeplearning.ai.

deep-learning hyperparameter-optimization machine-learning python tensorflow

Last synced: 15 Apr 2026

https://github.com/pronzzz/fingerprint-classification

Automated fingerprint classification using the Socofing dataset, leveraging machine learning to categorize fingerprints into arches, loops, and whorls for enhanced biometric identification. Project covers data analysis, model development, and evaluation to improve security and authentication systems.

automated-identification-process biometric-authentication biometrics convolutional-neural-networks cross-validation data-preprocessing decision-trees deep-learning feature-extraction fingerprint-classification hyperparameter-optimization image-classification machine-learning pattern-recognition performance-metrics socofing support-vector-machines

Last synced: 14 Jun 2025

https://github.com/alisatodorova/ml-groupwork-2

Group work on MultiLayer Perceptron (MLP) and Hyperparameters Optimization

binary-cross-entropy-loss hyperparameter-optimization machine-learning mlp multilayer-perceptron relu sigmoid-function

Last synced: 15 Mar 2025

https://github.com/mxagar/advanced_ml_techniques

This repository collects material, guides and links related to intermediate-advanced techniques used in professional machine learning.

feature-engineering feature-selection hyperparameter-optimization imbalanced-data machine-learning

Last synced: 03 Feb 2026

https://github.com/sayamalt/employee-attrition-prediction

Successfully established a machine learning model which can accurately predict whether an employee of a given company will leave it in the impending future or not, based on several employee details and employment metrics.

binary-classification continuous-deployment continuous-integration cross-validation data-exploration-and-preprocessing data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation

Last synced: 08 Oct 2025

https://github.com/sayamalt/credit-card-approval-prediction

Successfully developed a machine learning model which can accurately predict up to 100% accuracy whether a credit card application of a given applicant would be approved or not, based on several demographic features such as applicant age, total income, marital status, total years of work experience, etc.

binary-classification cicd-deployment cross-validation data-exploration-and-preprocessing data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-retraining model-selection model-testing model-training-and-evaluation

Last synced: 09 Nov 2025

https://github.com/sayamalt/taxi-trip-fare-prediction

Successfully created a machine learning model which can accurately predict the fare of a taxi trip based on several features such as trip duration, tip amount, etc.

cross-validation data-exploration-and-preprocessing data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-selection model-training-and-evaluation regression-modelling

Last synced: 09 Nov 2025