hyperopt
There are 111 repositories under hyperopt topic.
30lm32/docker-parallel-hyperopt
Easy & Quick : Docker services are using hyperopt in parallel on top of Mongodb
S-Mann/hyperparameter_optimization
A simple example that showcases the use of hyperopt for finding minimum loss for a machine learning model.
tedchengy/auto-learning
lncremental-learning Hyperparameter Optimization in Python
xianchen2/Online_Transaction_Fraud_Detection
Train CatBoost & XGBoost on 59K data to predict the probability that an online transaction is fraudulent
Al-1n/Gradient_Boosting_Tuning
Evaluating Hyperopt, Optuna, and TunedThresholdClassifierCV
annwit/car-prices-prediction
Data analysis and machine learning models in Python 3 (decision trees, random forests) on the car sales dataset
artiebears13/Wells_and_fracture_prediction
In this project we predict fracture position by oil production data and predict optimal prod well position for best oil production
asimihsan/udacity-carnd-t1-p3-behavioral-cloning
Solution and writeup for Term 1 Project 3 of Udacity's Self-Driving Nanodegree on "Behavioral Cloning"
EtienneLardeur/P7_Scoring
Credit Scoring from inputs to interpretation, see Streamlit_app repo to get to the dashboard
j-n-t/hyperparameter-tuning
Hyperparameter Tuning
kgaleziowski/recommender-systems-content-based
Recommender Systems 2021/2022: Content Based Recommenders Project
mariovp/ML-Tech-Test
Machine Learning test scripts in Python developed during research in Masters Degree project. Includes TensorFlow 2, Keras, Optuna, Inception Modules, etc
nickvdw/hyperparameter-optimization-techniques
Testing several hyperparameter optimization techniques.
NMARGOS/HousePricePrediction
[Kaggle Submission] -Using XGBRegressor with shap, grid search and hyperopt to predict house prices
samirhinojosa/OC-P7-implement-a-scoring-model
Implement a Scoring Model
silpara/av-janatahack-healthcare-analytics
Analytics Vidhya's Weekend Hackathon on Healthcare Analytics
StartrexII/tuningHyperparameters
study of hyperparameter tuning methods
adityajn105/Loan-Prediction
It is a Data Science competition by Analytics Vidhya. Learn to do preprocessing, hypertuning etc.
AjNavneet/Credit-Risk-Prediction-LightGBM-Hyperopt-SHAP
Predictive model for loan defaulters using LightGBM, HyperOpt and SHAP model interpretation.
Anyesh/bayesian-optimization
Bayesian optimization with hyperopt.
apethani21/turbine-energy-yield-prediction
Predicting turbine energy yield.
beatabb/dw_matrix_car
Prognozowanie cen samochodów
dtararuj/stores-sales-foreacast
food retail shops forecast
Gopalkholade/Phishing-Detection
A classification project on phishing detection
kamillafsilva/preditor_churn
Predição da probabilidade de churn utilizando classificação com Pyspark
kedarghule/Credit-Card-Fraud-Detection
This project implements a logistic regression model using grid search for hyperparameter tuning to get a AUPRC score of 0.70. This is further improved to a value of 0.82 by an XGBoost Classifier after using Hyperopt for hyperparameter tuning.
kgaleziowski/recommender-systems-neural-network
Recommender Systems 2021/2022: Neural Network Recommenders Project
KumaarBalbir/HyperTuning
Different techniques to tune the hyperparameter of machine learning models.
moniaa59/dw_matrix_car
Car price forecasting
neighthan/hyperopt_utils
Utility functions for hyperparameter optimization using hyperopt, especially from Jupyter notebooks.
vipinsiriah-git/SVMtuning
Bayesian Optimization is a smart way of tuning hyperparameters as it is fast and accurate than Grid-Search and Randomized Search, In this code block I've used hyperopt library to tune SVM hyperparameters with Bayesian Optimization