A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
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Nov 6, 2023 - Python
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gridsearchcv
Here are 68 public repositories matching this topic...
Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets
python validation tensorflow cross-validation dataset grid-search random-search gridsearchcv gridsearch tensorflow-datasets tensorflow2
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May 20, 2024 - Python
Obtaining meaningful results from the data set using the model trained with machine learning methods.
visualization machine-learning grid feature-selection pca-analysis data-analysis cluster-analysis gradient-boosting gridsearchcv train-model
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Jan 4, 2023 - Python
Open University Learning Analytics Dataset (OULAD) analysis exercise
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Apr 11, 2024 - Python
An anytime implementation of scikit-learn GridSearchCV
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Dec 2, 2018 - Python
Build a classifier to classify transport using sift and svm
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Dec 26, 2021 - Python
Global Horizontal Irradiance Analysis using Support Vector Regression and Bayesian Ridge Regression
python machine-learning principal-component-analysis solar-energy support-vector-regression gridsearchcv bayesian-regression polars
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Aug 16, 2023 - Python
ETL pipeline combined with a ML model for supervised learning and grid search to classify text messages sent during disaster events
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Apr 13, 2021 - Python
Model prediction about the bike demand in Seoul presented in an API
api modeling sklearn prediction flask-application predictive-modeling regression-models seoul gridsearchcv
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May 13, 2021 - Python
MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.
random-forest svm scikit-learn xgboost hyperparameter-optimization adaboost knn bayesian-optimization decision-tree hyperparameter-tuning gridsearchcv nature-inspired-algorithms randomized-search metaheuristic-search scikit-compatible
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Jun 4, 2025 - Python
Developed a forecasting model Hybrid GARCH-ANN By employing Grid Search for NYSE Stock
artificial-neural-networks hybrid hyperparameter-tuning stock-prediction gridsearchcv garch-model garch-ann
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Sep 12, 2023 - Python
Forecasting the likelihood of a customer defaulting their auto loan using classification models
python feature-selection classification logistic-regression feature-engineering lasso-regression knn-classification voting-classifier gridsearchcv xgboost-classifier variance-inflation-factor
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Dec 20, 2021 - Python
This is a Streamlit web application for predicting Telecom Churn. The app uses a trained machine learning model to predict whether a customer is likely to churn or not based on certain input features.
python random-forest scikit-learn pandas pickle gridsearchcv streamlit telecom-churn-prediction streamlit-cloud
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Jun 30, 2023 - Python
A real-time, end-to-end machine learning application built with Flask and integrated with MLflow for tracking and model management. The application predicts house prices based on user input, leveraging trained regression models and providing a web interface for seamless interaction.
cross-validation feature-selection accuracy pickle feature-engineering hyperparameter-tuning model-evaluation data-ingestion rmse continous-integration model-deployment continous-deployment gridsearchcv joblib mlflow data-cleaning-and-preprocessing model-training-and-evaluation model-performance-metrics scaling-and-normalization model-seria
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Nov 30, 2024 - Python
Predicting Big mart sales
python linear-regression pandas seaborn matplotlib supervised-machine-learning support-vector-regression decision-tree-regression gridsearchcv random-forest-regression xgboost-regression gradientboostingregressor
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Jan 18, 2023 - Python
Predict next day's close price for a stock like NSEI, NYA, HSI, IXIC, TWII, etc...!
data-science machine-learning python3 stock-price-prediction data-analysis data-preprocessing stock-data random-forest-regressor gridsearchcv streamlit
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Jan 3, 2025 - Python
Sentiment Analysis on Election Debate Tweets (Obama vs Romney) using Machine Learning
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Aug 31, 2020 - Python
Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.
machine-learning numpy scikit-learn pandas feature-selection pca logistic-regression lasso-regression gridsearchcv rfe rfecv selectkbest extratreesclassifier
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Aug 18, 2020 - Python
Applying random forest regression algorithm on the model to estimate the excitation current of the synchronous machine.
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Aug 16, 2022 - Python
Machine Learning App using the StreamLit web framework that aims to eliminate the barrier in understanding machine learning model building by streamlining the process thereby allowing non-technical users to harness the power of machine learning through data visualization and input customization
machine-learning pipeline graph random-forest machine-learning-algorithms data-visualization classification decision-trees gridsearchcv
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Jun 13, 2021 - Python
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