hyperopt
There are 107 repositories under hyperopt topic.
Skperopt
A hyperopt wrapper - simplifying hyperparameter tuning with Scikit-learn style estimators.
project_credit_scoring_model
Développer un modèle de scoring de la probabilité de défaut de paiement du client pour étayer la décision d'accorder ou non un prêt à un client potentiel.
higgsml
A solution to the Higgs boson machine learning challenge
hyperoptsearchcv
sklearn wrapper for Hyperopt
mlflow_rasa_hp
MLOPS applied for rasa
Hyperparameter_Tuning_Techniques
Hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned. Hyperparameters are crucial as they control the overall behavior of a machine learning model. The ultimate goal is to find an optimal combination of hyperparameters that minimizes a predefined loss function to give better results.
hypermater_tuning
Steps for hyperparameter tuning using Random, Grid CV and Hyperopt
Hyperparameter-Tuning-using-Hyperopt
Hyperparameter Tuning done on Random Forest Classifier using Hyperopt over Pima Diabetes Dataset!!
Bayesian-Optimization
Hyperparameter Optimization
LTA-Mobility-Sensing-Project
Location information about commuter activities is vital for planning for travel disruptions and infrastructural development. The Mobility Sensing Project aims to find innovative and novel ways to identify travel patterns from GPS data and other multi-sensory data collected in smartphones. This will be transformative to provide personalised travel information.
hyperparam-search-guides
Markdown guides and sample code for various hyperparameter search packages.
bayes-opt-battle
:bar_chart: Comparison of Bayesian hyperparameter optimization libraries in python
Psychotype_Bot
Телеграмм бот, который предсказывает тип психотипа по методике MBTI
Customer-Churn-Prediction
Customer Churn Prediction with data from Kaggle
Predicting-fit-of-a-candidate-for-a-job-using-tree-based-models
We use multiple Tree boosting models and compare their performance to calculate the fit percentage of a candidate for the job they apply for. Also try to handle categorical methods using various methods.
topic_model_lda_hyper_params_opt
Topic modelling - optimization of model hyper params. Notebooks are examples of using our optimization pipeline for sample data.
Competitions
This repository is the home for all competitions.
IoTwins_Bayesian_Optimization
The bayesian_optimization service has been developed to allow clients to make hyperparameter fine-tuning. The bayesian_optimization service is a wrapper of the Hyperopt python library for serial and parallel optimization over awkward search spaces, which may include real-valued, discrete, and conditional dimensions.
Women-in-Data-Science-2020
WiDS Datathon 2020 on patient health through data from MIT’s GOSSIS (Global Open Source Severity of Illness Score) initiative.
Predicting-Mortgage-Approvals-data-science-capsone
predict whether a mortgage application was accepted (meaning the loan was originated) or denied according to the given dataset.
mlflow_rsa_hp
MLOPS applied for rasa
MLPro-Int-Hyperopt
MLPro: Integration Hyperopt
Medical-Appointment-No-Show-Prediction
A machine learning solution predicting patient no-shows in healthcare appointments. This project integrates EDA, data processing, feature engineering, and XGBoost modeling, with a workflow spanning from Snowflake data retrieval to AWS deployment (S3, SageMaker, Lambda, API Gateway), aiming to enhance appointment management in medical ERP systems.
freqtrade_hyperopt_loop
re-run freqtrade hyperopt indefinitely with this bash shell script
ml-fintech-case-studies
A collection of machine learning use cases in fintech
employee-churn-prediction
An AI based technique to determine which employee going to leave or stay in the company.
mlflow_rasa_track
Simple rasa tracking tool using mlflow
Data_Analysis
Представлены основные работы связанные с анализом данных и машинным обучением
Prediction_Weapon_Fallout4
Построение модели предсказания кол-во патронов для убийства существ из игры Fallout 4
lazy-classifier-traffic-accidents-madrid
Analysis and predictions of Traffic Accidents in the City of Madrid
pet-projects
Repository for my pet-projects
steam-reviews
An end-to-end NLP project of mine.
ParameterOptimization
In this project, we focus on different ways to optimize a machine learning model parameters.
heart_stroke_classification
Attempt to predict heart stroke by using models from sklearn and using keras// Próba predykcji zawału serca przy wykorzystaniu modeli klasyfikacji binarnej z biblioteki sklearn i keras
useful_codes
codes related to hyperparameter tuning and some classes, functions, etc. I have created to optmize classification problems (Continuously being updated ).
RecEngine-CreditCard
Recommendation Engine to identify the Credit Card to offer to customer