GitHub topics: hyperparameter-tuning

Repositories

Debtanu-Ghosh/DE-NAS-ViT-Tomato-Leaf-Diseases-Detection

Language: Jupyter Notebook - Size: 355 MB - Last synced at: about 12 hours ago - Pushed at: about 14 hours ago - Stars: 0 - Forks: 0

skypilot-org/skypilot

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 20+ clouds, or on-prem).

Language: Python - Size: 205 MB - Last synced at: about 12 hours ago - Pushed at: about 13 hours ago - Stars: 8,973 - Forks: 843

kubeflow/katib

Automated Machine Learning on Kubernetes

Language: Python - Size: 101 MB - Last synced at: about 12 hours ago - Pushed at: 5 days ago - Stars: 1,641 - Forks: 494

ytopt-team/ytopt

ytopt: machine-learning-based autotuning and hyperparameter optimization framework using Bayesian Optimization

Language: C - Size: 97.7 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 50 - Forks: 18

Chris96bal/ML_Classification

Spotify Classification Problem 2023

Language: Jupyter Notebook - Size: 744 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

gtank127/ChurnShield-Customer-Retention-Predictor

📊 Predict customer churn with this ML model, enhancing retention strategies through accurate predictions and effective data analysis.

Size: 1.29 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

tkbear3/Arch-Technologies-DataScience_Internship-TASK1

🛳️ Predict survival on the Titanic using machine learning to analyze passenger data and reveal key insights into this historic maritime tragedy.

Language: Jupyter Notebook - Size: 12.4 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

arjkun456/Predicting-Movie-Rental-Durations-DataCamp

📀 Predict rental durations for DVDs using regression models to enhance inventory planning and improve customer satisfaction.

Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Daraan/ray_utilities

ray & RLlib tools for unified code across different repositories. Experiments with dynamic hyperparameters

Language: Python - Size: 2.14 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 6 - Forks: 0

Nike1-1/automl

⚙️ Automate machine learning tasks in-browser or with Node.js, utilizing efficient algorithms for regression and classification with minimal setup.

Language: JavaScript - Size: 3.62 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

jamiee9604/special

📥 Extract and organize AV metadata from multiple sites, streamlining your media library for software like Emby, Jellyfin, and Kodi.

Language: Python - Size: 8.1 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

s0nya23/Loan-Approval-Prediction

When it comes to deciding whether the applicant’s profile is relevant to be granted with loan or not,banks have to look after many aspects. Predicting loan approval is a common application of machine learning in the financial industry.

Language: Jupyter Notebook - Size: 418 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2 - Forks: 1

thamdard27/Projects

Machine learning project predicting diabetes using a 100k medical dataset. Includes preprocessing, SMOTE balancing, model comparison, and evaluation based on recall and specificity.

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

wandb/wandb

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Language: Python - Size: 185 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 10,540 - Forks: 793

syne-tune/syne-tune

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Language: Python - Size: 10.9 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 417 - Forks: 57

ego-creator/hepmassClassification

Pipeline PySpark pour la classification de particules en physique des hautes énergies (dataset HEPMASS). Inclut le prétraitement distribué, l'entraînement de modèles (régression logistique, arbres de décision), l'évaluation et des visualisations clés. Optimisé pour Hadoop/Spark.

Size: 1.95 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Abdulbaqi78692/house-price-prediction

🏠 Predict house prices accurately using machine learning with Python and Flask in this complete end-to-end project.

Language: Python - Size: 1.31 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

subash12345679-png/RentalPrice-ML-Modeling

📊 Predict apartment rental prices in Tel Aviv using machine learning models, featuring Elastic Net and Decision Trees for accurate forecasting.

Language: Jupyter Notebook - Size: 1.43 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

MIND-Lab/OCTIS

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

Language: Python - Size: 168 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 791 - Forks: 116

Faiyadnub/Spaceship-Titanic

Spaceship Titanic project.

Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

digvijaydesai078/fraud-detection-ensemble

🛡️ Detect and prevent fraud in real-time with an ensemble system, achieving high accuracy and significant ROI for enhanced security solutions.

Language: JavaScript - Size: 4.26 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Gummala-vinaykumar/AWS-DeepRacer-Autonomous-Racing-Model

Developed an AWS DeepRacer model using Python & the PPO algorithm, leveraging TensorFlow to train & fine-tune a deep reinforcement learning model. Designed a custom reward function & optimized hyperparameters to improve policy learning & navigation performance. Utilized AWS infrastructure for scalable training & deployment.

Size: 21.1 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

tutkufurkan/Machine-Learning---Advanced-Topics

Advanced ML tutorial: NLP gender classification, PCA visualization, hyperparameter optimization with Grid Search, and collaborative filtering recommendations using real-world datasets

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

AgileRL/AgileRL

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

Language: Python - Size: 61.9 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 840 - Forks: 67

M-Talha-Farooqi/Machine-Learning-CourseWork

Complete coursework of Machine Learning course including assignments, activities and projects of my University of Management and Technology.

Language: Jupyter Notebook - Size: 2.01 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

Nano-a/energy-demand-prediction

Pipeline complet de prédiction de consommation électrique. Multiples modèles (ML, Deep Learning, séries temporelles) avec interface Streamlit et optimisation d'hyperparamètres.

Language: Python - Size: 1.31 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

microsoft/nni 📦

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Language: Python - Size: 127 MB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 14,291 - Forks: 1,837

automl/auto-sklearn

Automated Machine Learning with scikit-learn

Language: Python - Size: 121 MB - Last synced at: 10 days ago - Pushed at: 23 days ago - Stars: 7,993 - Forks: 1,313

alteryx/evalml

EvalML is an AutoML library written in python.

Language: Python - Size: 16.3 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 833 - Forks: 91

dhaneshbb/BikeRental

Daily bike rental demand prediction using Ridge Regression on Capital Bikeshare data (2011-2012). Addresses multicollinearity, zero-inflated features, and non-normal distributions. Test R²=0.832, CV R²=0.815±0.032. Includes statistical analysis, VIF removal, and comparison of 10 regression algorithms.

Language: Jupyter Notebook - Size: 20.2 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

akash-kumar5/CryptoMarket_Regime_Classifier

CryptoMarket Regime Classifier is a machine learning framework that detects market regimes (Trend, Range, Squeeze, etc.) in crypto markets using multi-timeframe data and Hidden Markov Models. The project provides plug-and-play labeled datasets and trained models (HMM + LSTM) for downstream strategy development, position sizing, and risk management.

Language: Python - Size: 23.4 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 15 - Forks: 5

Neuraxio/Neuraxle

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

Language: Python - Size: 8.16 MB - Last synced at: 8 days ago - Pushed at: 7 months ago - Stars: 614 - Forks: 63

google/vizier

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Language: Python - Size: 4.72 MB - Last synced at: 4 days ago - Pushed at: 12 days ago - Stars: 1,608 - Forks: 108

mlr-org/mlr3tuning

Hyperparameter optimization package of the mlr3 ecosystem

Language: R - Size: 10.8 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 59 - Forks: 8

0xPutri/mlflow_project

Machine Learning model optimization project using MLflow — includes Grid Search, Random Search, Bayesian Optimization, and K-Fold Cross Validation for efficient experiment tracking.

Language: Python - Size: 144 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

dhaneshbb/AutoPricePred

Machine learning regression model predicting 1985 automobile prices. Lasso model achieves 91.7% R² with superior generalization over XGBoost. Handles extreme multicollinearity (VIF 16,676→8.36), data leakage detection, and outlier treatment through PCA and domain-driven feature engineering.

Language: Jupyter Notebook - Size: 33.4 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

shilpamadini/dog-breed-image-classifier-aws-sagemaker

Dog breed classification using AWS SageMaker. This project fine-tunes a pre-trained ResNet model with transfer learning, applies hyperparameter tuning, and leverages SageMaker Debugger and Profiler for performance optimization. The trained model is deployed to a real-time endpoint to serve image predictions.

Language: Jupyter Notebook - Size: 78.1 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

Techtonique/GPopt

Bayesian optimization using Gaussian Process regression (Python)

Language: HTML - Size: 7.5 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 3 - Forks: 0

openmole/mgo

Purely functional genetic algorithms for multi-objective optimisation

Language: Scala - Size: 3.37 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 72 - Forks: 5

jaydenth/Churn-Prediction

This is a School assignment, on churn prediction using scikit learn and traditional ML models

Size: 1000 Bytes - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 0

MLopez-Ibanez/irace

Iterated Racing for Automatic Algorithm Configuration

Language: R - Size: 27.2 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 66 - Forks: 17

elizljohnson-projects/project-eeg-gamma-modulation-ml

Modulation of auditory gamma-band responses using transcranial electrical stimulation: Part 2 (2025)

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

automl/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Language: Python - Size: 154 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1,202 - Forks: 240

AishwaryaMaddula/End-To-End-MachineLearning-Pipeline

Implementation of a reproducible end-to-end machine learning pipeline with automated preprocessing, exploratory data analysis, model selection, and hyperparameter tuning using Scikit-learn and Python.

Language: Jupyter Notebook - Size: 616 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

ML-GSAI/Scaling-Diffusion-Transformers-muP

Official implementation for our paper "Scaling Diffusion Transformers Efficiently via μP".

Language: Python - Size: 5.6 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 90 - Forks: 1

mlr-org/bbotk

Black-box optimization framework for R.

Language: R - Size: 24.4 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 24 - Forks: 10

Batuhan-METU/FlightPricePredictor-MachineLearningModel

Machine Learning Project || Predict Flight Prices || EDA & Feature Engineering & Model Training || SHAP - LIME Analysis 🧠|| Performance Metrics || Live Web Application

Language: Jupyter Notebook - Size: 4.62 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

onepanelio/onepanel

The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

Language: Go - Size: 29.4 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 730 - Forks: 72

henryhcooperr/FaceRecognition-MultiArchitecture-Pipeline

A comprehensive face recognition system featuring multiple deep learning architectures (CNN, Siamese, ArcFace, Transformer-hybrid), interactive interface, advanced preprocessing pipeline, hyperparameter optimization, and real-time demo capabilities. Includes visualization tools, cross-validation, and support for multiple datasets.

Language: Python - Size: 559 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

determined-ai/determined

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Language: Go - Size: 198 MB - Last synced at: 18 days ago - Pushed at: 8 months ago - Stars: 3,192 - Forks: 370

Helmholtz-AI-Energy/propulate

Propulate is an asynchronous population-based optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.

Language: Python - Size: 8.08 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 41 - Forks: 8

Batuhan-METU/DiamondPricePredictor-MachineLearningModal

Machine Learning Project || Predict Diamond Price || EDA & Feature Engineering & Model Training || Integrated Web Application

Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

plandes/datdesc

Describe and optimize data

Language: Python - Size: 451 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

rick12000/confopt

A Library for Conformal Hyperparameter Tuning

Language: Python - Size: 1.68 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 102 - Forks: 5

AnderCruz/Text-Classification-Generation-Project-CNN

This project explores natural language processing techniques using TensorFlow and Keras, focusing on challenges faced by a news portal. The portal requires solutions for classifying articles based on their titles and descriptions, and for assisting writers in maintaining a consistent style by suggesting subsequent words.

Size: 9.77 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

nf-core/drugresponseeval

Pipeline for testing drug response prediction models in a statistically and biologically sound way.

Language: Nextflow - Size: 7.68 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 24 - Forks: 6

cudjoejosephine/AI-Machine-Learning-Projects

This repository serves as a central hub for my machine learning projects, showcasing a variety of techniques, algorithms, and applications. It demonstrates my expertise in machine learning and provides a resource for others to learn and explore.

Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

Abdullah321Umar/Arch-Technologies-DataScience_Internship-TASK1

✨ Titanic Survival Classification Using Titanic Dataset ✨ It involves data cleaning, feature engineering, and model building with Python’s Pandas, NumPy, and Scikit-learn libraries. Visualization tools like Matplotlib and Seaborn were used to uncover key insights through colorful, appealing charts. Overall, it demonstrates power of Data Science.

Language: Jupyter Notebook - Size: 11.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

iamb0ttle/BNA-Basketball_DNA 📦

BNA(Basketball dNA) is an machine learning project analyzing NBA player statistics and physical data to predict optimal basketball positions (PG-C) as part of a highschool course.

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

aditi-gupta-git/Student-Performance-Predictor

Student Performance Predictor is an end-to-end machine learning project that implements a complete predictive modeling pipeline. It analyzes the impact of demographic, socioeconomic, and academic factors on student mathematics performance, performing data preprocessing, feature engineering, regression modeling (Linear, Ridge, Lasso, Random Forest,

Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

IBM/lale

Library for Semi-Automated Data Science

Language: Python - Size: 40.9 MB - Last synced at: 30 days ago - Pushed at: 2 months ago - Stars: 345 - Forks: 84

klieret/wandb-offline-sync-hook

A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!

Language: Python - Size: 216 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 86 - Forks: 7

filipsPL/optuml

Optuna-optimized ML methods, with scikit-learn like API

Language: Python - Size: 70.3 KB - Last synced at: 22 days ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

mattsebastianh/bone_marrow_pipeline

Scikit-learn ML pipeline to predict bone marrow transplant survival. Includes data preprocessing, PCA, model tuning, and comprehensive Jupyter notebook with visualizations.

Language: Jupyter Notebook - Size: 323 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

WilliamLwj/PyXAB

PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

Language: Python - Size: 13.8 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 125 - Forks: 30

DLR-RM/rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Language: Python - Size: 3.83 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 2,577 - Forks: 569

nirmal2i43a5/Employee-Churn-Prediction

An interactive HR-analytics app predicting employee churn via scikit-learn pipelines and Streamlit

Language: Jupyter Notebook - Size: 7.58 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 1 - Forks: 1

mlr-org/mlr3mbo

Flexible Bayesian Optimization in R

Language: R - Size: 13.9 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 26 - Forks: 1

Rowlkh/Credit-Card-Approval-Prediction-Classification-

The Credit Card Approval Prediction project predicts credit card approval using applicant data, with models like KNN, Decision Trees, and MLP. It includes data preprocessing, feature selection with Genetic Algorithms, and hyperparameter tuning.

Language: Jupyter Notebook - Size: 8.25 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 1 - Forks: 3

thieu1995/MetaSklearn

MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.

Language: Python - Size: 137 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 7 - Forks: 0

ARM-software/mango

Parallel Hyperparameter Tuning in Python

Language: Jupyter Notebook - Size: 54.6 MB - Last synced at: 10 days ago - Pushed at: 9 months ago - Stars: 418 - Forks: 47

jsingh811/pyAudioProcessing

Audio feature extraction and classification

Language: Python - Size: 22.9 MB - Last synced at: 23 days ago - Pushed at: over 2 years ago - Stars: 227 - Forks: 41

A-iftikhar02/telco-churn-pipeline

End-to-End Customer Churn Prediction Pipeline using Scikit-learn, GridSearchCV, and Gradio. Automatically preprocesses Telco data, tunes Logistic Regression & Random Forest models, and deploys an interactive web app for real-time churn predictions.

Language: Python - Size: 9.77 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Antonyjaiwin/ML_ASSIGN-MODELS

MLF_Assign.25

Language: Jupyter Notebook - Size: 1.69 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

BCG-X-Official/facet

Human-explainable AI.

Language: Jupyter Notebook - Size: 53.1 MB - Last synced at: 23 days ago - Pushed at: 2 months ago - Stars: 525 - Forks: 47

sibirbil/marsopt

Mixed Adaptive Random Search (MARS) for Optimization

Language: Python - Size: 41 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 30 - Forks: 2

noumanjamadar/Bulldozer_Price_Prediction

End-to-end Machine Learning project predicting Bulldozer Auction Prices using Random Forest Regressor on 400K+ real-world Kaggle dataset with feature engineering, hyperparameter tuning, and model evaluation.

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ODUNAYOMIDE-YAKUBU/Student-Performance-Analysis-and-Predictive-Modeling

The Student Performance Dataset provides insights into academic achievements and extracurricular activities of students. This dataset is valuable for analyzing factors that impact student success, study habits, and parental influence.

Language: Jupyter Notebook - Size: 3.28 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

EshanSugeesh/Amex-Machine-Learning-Project

Predictive modeling on American Express dataset using advanced ML algorithms, extensive feature engineering (300+ features), and cloud-based data science workflows.

Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

higorfct/Fraud-Detection-with-Deep-Learning

Fraud Detection with Deep Learning

Language: Jupyter Notebook - Size: 270 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Varun-khorgade/ChurnShield-Customer-Retention-Predictor

Built an ML-based classification model to predict customer churn. Applied data preprocessing, feature engineering, and ensemble algorithms to improve prediction accuracy and help businesses implement retention strategies.

Size: 1000 Bytes - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

pranavsp108/Financial-Fraud-Detection

A comprehensive machine learning project for detecting financial fraud using XGBoost and LightGBM, with a focus on advanced feature engineering, class imbalance handling, and hyperparameter tuning.

Language: Jupyter Notebook - Size: 96.7 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

nkr1108/AIMLJourney

My AIML Journey

Language: Jupyter Notebook - Size: 142 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Albert-Gamarro/academic-to-applied-ml-ensembles

From academic concepts to applied machine learning with ensembles — structured workflow, hyperparameter tuning, and real-world implementation.

Language: Jupyter Notebook - Size: 57.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ray-project/tune-sklearn 📦

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

Language: Python - Size: 13.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 469 - Forks: 51

avacaondata/nlpboost

Python library for automatic training, optimization and comparison of Transformer models on most NLP tasks.

Language: Python - Size: 4.14 MB - Last synced at: 24 days ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 3

Venkat-023/Thyroid-Cancer-Prediction

This project aims to develop a machine learning pipeline to predict thyroid cancer based on patient data. The dataset was sourced from multiple public repositories, cleaned, and merged to create a comprehensive dataset for modeling. Various classification algorithms were implemented, including Random Forest, Logistic Regression, K-Nearest Neighbors

Language: Jupyter Notebook - Size: 267 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0