gridsearchcv

There are 2 repositories under gridsearchcv topic.

ray-project / tune-sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
scikit-learn hyperparameter-tuning gridsearchcv bayesian-optimization automl
Language:Python 464
PacktWorkshops / The-Python-Workshop
A New, Interactive Approach to Learning Python
python machine-learning types structure algorithms data-science pytorch gridsearchcv randomizedsearchcv linear-regression logistic-regression random-forests
Language:Jupyter Notebook 248
kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
stock prediction predictive-modeling predictive-analysis guassian-processes svm-classifier knn-classifier adaboost decision-tree parameter-tuning gridsearchcv pipeline random-forest quadratic-discriminant-analysis logistic-regression algorithmic-trading stocks
Language:Jupyter Notebook 117
Pradnya1208 / Telecom-Customer-Churn-prediction
Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.
customer-churn-prediction customer-churn-analysis classification classification-algorithm feature-engineering cross-validation model-evaluation roc-auc gridsearchcv sklearn python numpy pandas plotly machine-learning
Language:Jupyter Notebook 51
zunicd / Bank-Churn-Prediction
Bank customers churn dashboard with predictions from several machine learning models.
seaborn pandas flask scikit-learn gridsearchcv smote python matploblib imbalanced-learn keras-tensorflow html-css-bootstrap jupyter-notebooks pipelines
Language:Jupyter Notebook 35
30lm32 / ml-spam-sms-classification
Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification
word2vec gensim keras nlp machine-learning ml randomforest svm deep-learning classification naive-bayes sklearn pipeline gridsearchcv lstm-neural-networks spam-classification tf-idf statsmodels sms-classification sms
Language:Jupyter Notebook 26
the-mrinal / ML-Notebook
Karma of Humans is AI
numpy-arrays matploblib linear-regression logistic-regression logisticregression confusion-matrix decision-tree-algorithm feature-scaling gradient-descent naive-bayes-classifier knn-classifier text-classification svm-classifier pca-analysis notebook used-cars gridsearchcv
Language:Jupyter Notebook 26
uzunb / house-prices-prediction-LGBM
This repo has been developed for the Istanbul Data Science Bootcamp, organized in cooperation with İBB and Kodluyoruz. Prediction for house prices was developed using the Kaggle House Prices - Advanced Regression Techniques competition dataset.
data-science data-visualization grid-search-cross-validation grid-search-cv grid-search-hyperparameters gridsearchcv house-price-prediction lgbm lgbm-regressor lgbmregressor streamlit streamlit-application streamlit-dashboard streamlit-sharing streamlit-ui
Language:Jupyter Notebook 18
hyeonsangjeon / Hyperparameters-Optimization
Hyperparameters-Optimization
hyperparameter-optimization hyperparameter-tuning hpo optimization tpe hyperparameter hyperparameter-search gridsearchcv randomsearchcv hyperbandsearchcv bayessearchcv fmin grid-search random-search hyperband bayesian-optimization tree-structured tree-of-parzen-estimator
Language:Jupyter Notebook 16
BerkKilicoglu / ML-Modelling-Disease-Analysis
Obtaining meaningful results from the data set using the model trained with machine learning methods.
cluster-analysis data-analysis feature-selection gradient-boosting grid gridsearchcv machine-learning pca-analysis train-model visualization
Language:Python 14
franneck94 / TensorCross
Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets
cross-validation grid-search tensorflow-datasets tensorflow2 random-search validation tensorflow gridsearchcv dataset python gridsearch
Language:Python 13
MatteoM95 / Default-of-Credit-Card-Clients-Dataset-Analisys
Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
gridsearchcv logistic-regression machine-learning random-forest-classifier oversampling-technique pca-analysis smote svm-classifier decision-trees oversampling undersampling exploratory-data-analysis uci-dataset
Language:HTML 13
ThinamXx / CaliforniaHousing__Prices
I have built a Model using Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.
randomforestregressor decision-trees python3 gridsearchcv randomizedsearchcv
Language:HTML 13
erik1110 / Data-Science
iThome 13th-ironman (2021) - Data Science Learning Roadmap about Python
decision-trees fastapi git gridsearchcv keras knn lightgbm machine-learning pandas postgres psycopg2 random-forest regression shap svm xgbost
Language:Jupyter Notebook 12
OryJonay / anytime-gridsearch
An anytime implementation of scikit-learn GridSearchCV
anytime-algorithms gridsearchcv search-algorithm machine-learning
Language:Python 12
docongminh / Classification-SIFT-SVM
Build a classifier to classify transport using sift and svm
bag-of-words svm-classifier svm sift-algorithm sift-descriptors classification gridsearchcv
Language:Python 10
raj1603chdry / Fake-News-Detection-System
Fake News Detection System for detecting whether news is fake or not. The model is trained using "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. Link for dataset: https://arxiv.org/abs/1705.00648.
svm-classifier logistic-regression random-forest naive-bayes-classifier pipeline gridsearchcv voting-classifier custom-transformer tfidf-vectorizer count-vectorizer word-cloud nltk scikit-learn pos-tagging data-preprocessing machine-learning fake-news pattern-library
Language:Jupyter Notebook 10
satishgunjal / House-Price-Prediction-Project
Contains all my data science projects.
colab-notebook python python3 pandas pandas-dataframe pandas-python numpy numpy-array data-science linear-regression gridsearchcv kfold-cross-validation feature-engineering outlier-detection data-loading data-cleaning dimensionality-reduction hyperparameter-tuning matplotlib matplotlib-python
Language:Jupyter Notebook 9
juanerolon / Income-Prediction-Machine-Learning
In this project, I employ several supervised algorithms to accurately predict an individual income using data collected from the 1994 U.S. Census. We implement various testing procecures to choose the best candidate algorithm from preliminary results and further optimize this algorithm to best model the data.
gradient-boosting support-vector-machines random-forest supervised-learning machine-learning gridsearchcv financial-analysis financial-data
Language:Jupyter Notebook 8
sid321axn / Udacity-MLND-Capstone-Gold-Price-Prediction
Capstone Project Gold Price Prediction using Machine learning Approach for Udacity Machine Learning engineer Nanodegree Program
machine-learning stock-price-prediction gold udacity-machine-learning-nanodegree udacity-nanodegree python numpy pandas matplotlib-pyplot sklearn-estimator ensemble-learning ensemble-model support-vector-regression random-forest lasso-regression ridge-regression gridsearchcv
Language:Jupyter Notebook 8
sonnguyen129 / Accident-Severity-Prediction
Predicting the severity of accident
heroku shap streamlit xgboost smote gridsearchcv python
Language:Jupyter Notebook 8
wanderly0501 / Architectural-Picture-Classification
Classify pictures by architectural style and recognize objects with CNNs and YOLO
convolutional-neural-networks keras-tensorflow yolov2 image-recognition image-classification transfer-learning data-augmentation svm-classifier pca-analysis kfold-cross-validation gridsearchcv architectural-patterns
Language:Jupyter Notebook 8
adiag321 / CRM-Analysis-for-Marketing-data
In this project, we have to create a predictive model which allows the company to maximize the profit of the next marketing campaign
classification-algorithm crm-analysis data-analysis feature-importance gridsearchcv hyperparameter-tuning machine-learning marketing-analysis shap-values statistics
Language:Jupyter Notebook 7
jfjensen / numerai_article
Creating Predictions for Numerai with Keras and scikit-learn
numerai jupyter-notebook keras keras-neural-networks gridsearchcv cross-validation neural-network tournament python python3 sklearn scikit-learn
Language:HTML 7
Pegah-Ardehkhani / Customer-Churn-Prediction-and-Analysis
Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
accuracy churn-prediction classification classification-algorithm cross-validation customer-churn customer-churn-analysis customer-churn-prediction data-science feature-engineering feature-importance gridsearchcv imbalanced-data machine-learning machine-learning-algorithms plotly python roc-auc sklearn telco
Language:Jupyter Notebook 7
shahriar-rahman / GHI-Assessment-using-SVR-and-BRR
Global Horizontal Irradiance Analysis using Support Vector Regression and Bayesian Ridge Regression
bayesian-regression machine-learning polars python solar-energy support-vector-regression gridsearchcv principal-component-analysis
Language:Python 7
TrainingByPackt / The-Python-Workshop
Become a proficient, productive and powerful programmer with Python
python cython python37 machine-learning pytorch gridsearchcv logistic-regression random-forests histogram histograms numpy pandas
Language:Jupyter Notebook 7
gulabpatel / Hyper_Parameter_Optimization
We will discuss the Hyper Parameter Tuning for different Machine Learning Algorithm
randomsearch-cv gridsearchcv tpot optuna hyperopt skopt
Language:Jupyter Notebook 6
arunvignesh15 / Machine-Learning
Learn and Explore
machine-learning classification regression random-forest xgboost tpot gridsearchcv bagging cross-validation imbalanced-learning smote svm-classifier knn-classification
Language:Jupyter Notebook 5
ejw-data / ml-myopia
A variety of machine learning techniques used to identify nearsighted patients
knn machine-learning python scikit-learn tensorflow svc cross-validation gridsearchcv kmeans pca pipeline tsne random-forest imbalanced-classification
Language:Jupyter Notebook 5
markbirds / Used-Car-Price-Prediction
Predicting prices of second hand cars using regression.
gridsearchcv heroku-deployment machinelearning regression
Language:Jupyter Notebook 5
Machine-Learning-Prediction-of-California-House-Prices
Tejas-TA / Machine-Learning-Prediction-of-California-House-Prices
The repository contains the California House Prices Prediction Project implemented with Machine Learning. The app was deployed on the Flask server, implemented End-to-End by developing a front end to consume the Machine Learning model, and deployed in Azure, Google Cloud Platform, and Heroku. Refer to README.md for demo and application link
regression-models machine-learning artificial-intelligence pandas-dataframe numpy seaborn sklearn flask heroku jupyter-notebook data-science matplotlib javascript-library bootstrap4 azure gcp-compute-engine california-house-prices hyperparameter-tuning randomizedsearchcv gridsearchcv
Language:Jupyter Notebook 5
ElizabethSeidle / OULAD
Open University Learning Analytics Dataset (OULAD) analysis exercise
gridsearchcv machine-learning random-forest-classifier shapely
Language:Python 4
G0rav / House_Rent_Predictor
A Machine Learning model to predict the rent price of the house based on the parameters like area, no of bedrooms,society, location etc.
machine-learning regression data-science artificial-intelligence gridsearchcv xgboost linear-regression
Language:Jupyter Notebook 4
josepaulosa / NLP_Sentiment_Analysis
Sentiment analysis of the restaurant reviews from YELP dataset using BoW, TF-IDF, Word2Vec, Doc2Vec, Glove and BERT.
bag-of-words bert-model doc2vec glove gridsearchcv logistic-regression nlp pipelines sentiment-analysis svm tf-idf word2vec preprocessing pytorch-nlp google-cloud-platform google-colab-notebooks
Language:Jupyter Notebook 4
thomastrg / SeoulBikeDemand_DataAnalysis
Model prediction about the bike demand in Seoul presented in an API
prediction modeling predictive-modeling flask-application sklearn gridsearchcv regression-models api seoul
Language:Python 4

gridsearchcv

ray-project / tune-sklearn

PacktWorkshops / The-Python-Workshop

kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

Pradnya1208 / Telecom-Customer-Churn-prediction

zunicd / Bank-Churn-Prediction

30lm32 / ml-spam-sms-classification

the-mrinal / ML-Notebook

uzunb / house-prices-prediction-LGBM

hyeonsangjeon / Hyperparameters-Optimization

BerkKilicoglu / ML-Modelling-Disease-Analysis

franneck94 / TensorCross

MatteoM95 / Default-of-Credit-Card-Clients-Dataset-Analisys

ThinamXx / CaliforniaHousing__Prices

erik1110 / Data-Science

OryJonay / anytime-gridsearch

docongminh / Classification-SIFT-SVM

raj1603chdry / Fake-News-Detection-System

satishgunjal / House-Price-Prediction-Project

juanerolon / Income-Prediction-Machine-Learning

sid321axn / Udacity-MLND-Capstone-Gold-Price-Prediction

sonnguyen129 / Accident-Severity-Prediction

wanderly0501 / Architectural-Picture-Classification

adiag321 / CRM-Analysis-for-Marketing-data

jfjensen / numerai_article

Pegah-Ardehkhani / Customer-Churn-Prediction-and-Analysis

shahriar-rahman / GHI-Assessment-using-SVR-and-BRR

TrainingByPackt / The-Python-Workshop

gulabpatel / Hyper_Parameter_Optimization

arunvignesh15 / Machine-Learning

ejw-data / ml-myopia

markbirds / Used-Car-Price-Prediction

Tejas-TA / Machine-Learning-Prediction-of-California-House-Prices

ElizabethSeidle / OULAD

G0rav / House_Rent_Predictor

josepaulosa / NLP_Sentiment_Analysis

thomastrg / SeoulBikeDemand_DataAnalysis