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Projects in Awesome Lists tagged with gridsearchcv
A curated list of projects in awesome lists tagged with gridsearchcv .
https://github.com/ray-project/tune-sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
automl bayesian-optimization gridsearchcv hyperparameter-tuning scikit-learn
Last synced: 27 Sep 2024
https://github.com/packtworkshops/the-python-workshop
A New, Interactive Approach to Learning Python
algorithms data-science gridsearchcv linear-regression logistic-regression machine-learning python pytorch random-forests randomizedsearchcv structure types
Last synced: 21 Dec 2024
https://github.com/PacktWorkshops/The-Python-Workshop
A New, Interactive Approach to Learning Python
algorithms data-science gridsearchcv linear-regression logistic-regression machine-learning python pytorch random-forests randomizedsearchcv structure types
Last synced: 13 Nov 2024
https://github.com/hyeonsangjeon/hyperparameters-optimization
Hyperparameters-Optimization
bayesian-optimization bayessearchcv fmin grid-search gridsearchcv hpo hyperband hyperbandsearchcv hyperparameter hyperparameter-optimization hyperparameter-search hyperparameter-tuning optimization random-search randomsearchcv tpe tree-of-parzen-estimator tree-structured
Last synced: 17 Nov 2024
https://github.com/franneck94/tensorcross
Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets
cross-validation dataset grid-search gridsearch gridsearchcv python random-search tensorflow tensorflow-datasets tensorflow2 validation
Last synced: 14 Oct 2024
https://github.com/trainingbypackt/the-python-workshop
Become a proficient, productive and powerful programmer with Python
cython gridsearchcv histogram histograms logistic-regression machine-learning numpy pandas python python37 pytorch random-forests
Last synced: 14 Nov 2024
https://github.com/geekquad/facial-recognition-with-pca
Face Recognition Implementation using PCA, eigenfaces, and SVM
eigenfaces face-recognition gridsearchcv lfw-dataset pca sklearn svm-classifier
Last synced: 10 Nov 2024
https://github.com/dark-art108/hyperparameter-tuning-using-hyperopt
Hyperparameter Tuning done on Random Forest Classifier using Hyperopt over Pima Diabetes Dataset!!
dataset gridsearchcv hyperopt hyperparameter-tuning python3 random-forest
Last synced: 12 Nov 2024
https://github.com/ejw-data/ml-myopia
A variety of machine learning techniques used to identify nearsighted patients
cross-validation gridsearchcv imbalanced-classification kmeans knn machine-learning pca pipeline python random-forest scikit-learn svc tensorflow tsne
Last synced: 21 Nov 2024
https://github.com/krisharul26/defect-detection-in-air-pressure-system-aps-of-a-truck-using-ml
The dataset consists of data collected from heavy Scania trucks in everyday usage. The system in focus is the Air Pressure system (APS) which generates pressurised air that is utilized in various functions in a truck, such as braking and gear changes. The dataset’s positive class consists of component failures for a specific component of the APS system. The negative class consists of trucks with failures for components not related to the APS. So, I created a model where It can able to detect whether the APS is going to fail or Not.
confusion-matrix f1-score gridsearchcv hyperparameter-optimization knn-classification roc sampling-methods svm-classifier
Last synced: 09 Nov 2024
https://github.com/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
Last synced: 10 Nov 2024
https://github.com/safaa-p/telecommunication-churn-prediction
Predicting the churn of telecommunication custumers
classification clustering gridsearchcv kneighborsclassifier logisticregression
Last synced: 15 Nov 2024
https://github.com/jesussantana/advanced-machine-learning
Familiarize ourselves with Pipelines, grid search and text mining
gridsearchcv machine-learning pipelines pyforest python sentiment-analysis text-mining
Last synced: 12 Nov 2024
https://github.com/vipul2001/machine-learninng-and-deep-learning
It is an attempt to bring along various techniques in machine learning and deep learning
adaptive-linear-neurons book clustering dataset deep-learning gridsearchcv implementation-of-algorithms linear-regression machine-learning plotting pytorch sklearn tensorflow tensorflow-tutorials zer-to-hero
Last synced: 16 Nov 2024
https://github.com/asifdotexe/real-estate-price-prediction
The objective of this project is to apply my knowledge of data science and machine learning to create a house price prediction model in a well documented fashion
gridsearchcv house-price-prediction linear-regression machine-learning-algorithms predictive-modeling
Last synced: 15 Nov 2024
https://github.com/shaadclt/boston-house-price-prediction-lassoregression
This project involves the prediction of house prices in Boston using Lasso Regression in Jupyter Notebook. The dataset contains features such as average number of rooms per dwelling, crime rate, and more. Through this analysis, we aim to build a regression model that accurately predicts house prices based on the given input features.
Last synced: 07 Dec 2024
https://github.com/nanith777/diabetes-prediction-id3_alg-ml-models
This project aims to predict diabetes using data mining techniques and various machine learning models. We utilized a diabetes dataset to train and evaluate multiple learning models.
gridsearchcv id3 machine-learning-algorithms python
Last synced: 12 Nov 2024
https://github.com/michellebonat/predict_customer_churn_ml
A case study on predicting customer churn using machine learning.
gridsearchcv machine-learning prediction python xgboost
Last synced: 11 Dec 2024
https://github.com/dark-art108/introduction-to-ml-piplines-and-params-tuning-using-pipeline-and-gridsearchcv
Hyperparameter tuning using Sklearn Pipelines
gridsearchcv hyperparameter-optimization pipelines sklearn-classify
Last synced: 12 Nov 2024
https://github.com/sevilaymuni/multivariate-timeseries-forecast-lstm-apple-google-stocks
Complete guide to create robust LSTM models for forecasting stock price
deep-learning forecasting-models gridsearchcv keras lstm-neural-networks machine-learning rnn-lstm sklearn-metrics stock-market tensorflow visualization
Last synced: 21 Nov 2024
https://github.com/angelonazzaro/zamatcher
ZaMatcher is the AI module powering OpenMeet's user recommendation system.
ai classification clustering gridsearchcv jupyter-notebook machine-learning open-source
Last synced: 07 Nov 2024
https://github.com/andreeo/model-smoking-dna-methylation
Predicting the influence of smoking on DNA methylation at different CpG islands
csv data-mining gridsearchcv machine-learning metrics model pandas python random-forest-classifier sklearn svc
Last synced: 21 Nov 2024
https://github.com/m-rishab/housing-price-prediction
The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.
gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn
Last synced: 21 Nov 2024
https://github.com/niteshchawla/ola-ensemblelearning
Recruiting and retaining drivers is seen by industry watchers as a tough battle for Ola. Churn among drivers is high and it’s very easy for drivers to stop working for the service on the fly or jump to Uber depending on the rates.
bagging-ensemble confusion-matrix encoding ensemble-learning feature-engineering featureimportance gridsearchcv hyperparameter-tuning machine-learning precision-recall random-forest roc-auc-curve scaling-methods smote-sampling
Last synced: 11 Nov 2024
https://github.com/huseyincenik/machine_learning
classification cross-validation decision-tree decision-trees gridsearchcv knn knn-classification linear-regression linearregression logistic-regression machine-learning machine-learning-algorithms machine-learning-library machinelearning machinelearning-python random-forest randomforest regression regression-models unsupervised-machine-learning
Last synced: 01 Dec 2024
https://github.com/dark-art108/random-forest-claasification-with-gridsearchcv-optimization
Random Forest Claasification with GridSearchCV Optimization
classification gridsearchcv hyperparameter-optimization hyperparameter-tuning random-forest-classifier
Last synced: 12 Nov 2024
https://github.com/rakibhhridoy/machinelearning-featureselection
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.
extratreesclassifier feature-selection gridsearchcv lasso-regression logistic-regression machine-learning numpy pandas pca rfe rfecv scikit-learn selectkbest
Last synced: 06 Nov 2024
https://github.com/martinkalema/hyperparameter-tuning-gridsearchcv
Using GridSearchCV to tune hyperparameters for my logistic regression model to better model performance
gridsearchcv logistic-regression machine-learning
Last synced: 12 Nov 2024
https://github.com/varadbhogayata/sentence-classifier
The problem deals with classifying sentences into 5 categories
gridsearchcv preprocessing sentence-classification svm-classifier
Last synced: 06 Nov 2024
https://github.com/rayyan9477/house-price-prediction-model
This project aims to predict house prices using a machine learning model. The project involves data cleaning, feature engineering, model selection, training, and evaluation. The dataset is uploaded by the user, and the model is trained to predict house prices based on various features.
data-science data-visualization gridsearchcv machine-learning machine-learning-algorithms notebook python random-forest
Last synced: 11 Nov 2024
https://github.com/umasivakumar14/f1imagerecognition
Predicts the F1 driver given in an image of their face.
crossvalidation flask gridsearchcv haar-cascade image-recognition machine-learning python scikit-learn seaborn wavelet-transform
Last synced: 17 Nov 2024
https://github.com/parag000/customer-churn-prediction
An end to end ML solution to predict customer churn, aiding businesses in identifying at-risk customers. This repository features a tuned LightGBM model, custom preprocessing, SMOTE for class balancing, and a user-friendly Streamlit app for predictions, emphasizing model optimization and deployment.
gridsearchcv hyperparameter-tuning lightgbm-classifier pipeline random-forest-classifier smote-sampling streamlit winsorization
Last synced: 20 Nov 2024
https://github.com/asenacak/usedcarsml
data-preprocessing decision-tree-regressor feature-selection gridsearchcv hyperband hyperparameter-tuning imputation-methods keras keras-tuner linear-regression machine-learning neural-networks normalization one-hot-encoding price-prediction random-forest-regression selectkbest tensorflow used-cars-price-prediction xgboost-regression
Last synced: 17 Nov 2024
https://github.com/ritwika-das-gupta/flight_price_prediction
Flight price Prediction is made using decision tree model and Machine learning concepts
cross-validation data-science data-visualization desiciontree flask gridsearchcv html-css-javascript hyperparameter-tuning json machine-learning matplotlib numpy pandas pickle python scikit-learn sklearn statistics supervised-learning
Last synced: 24 Nov 2024
https://github.com/ritwika-das-gupta/sports_celebrity_image_classification
In this Python code snippet, we will walk through the process of building a celebrity face recognition system using OpenCV (Open Source Computer Vision Library) and machine learning. The goal of this project is to detect and recognize faces of celebrities in images.
feature-engineering gridsearchcv numpy opencv pandas python svm-classifier tkinter wavelet-transform
Last synced: 24 Nov 2024
https://github.com/mr-chang95/disaster_response_pipeline
Data Science Project for Udacity's Data Scientist Program. Here I created a webapp and ML/NLP pipeline that analyzes message data for disaster response and shows classification results.
data-engineering data-pipeline data-science disaster-response etl-pipeline flask gridsearchcv jupyter-notebook machine-learning natural-language-processing nlp ntlk python python-script sklearn sqlalchemy sqlite udacity-data-science-nanodegree
Last synced: 28 Nov 2024
https://github.com/kwokhing/udacity-bertelsmann-intro-to-ml-with-tensorflow
Udacity x Bertelsmann Scholarship - Introduction to Machine Learning with TensorFlow
deep-learning gridsearchcv k-means-clustering machine-learning pca-analysis pickle random-forest sklearn supervised-machine-learning tensorflow unsupervised-machine-learning
Last synced: 02 Dec 2024
https://github.com/sevilaymuni/project-no.6-tree-based-models
Random Forest Assisted Suggestions for Salifort Motors Employee Retention: Plan, Analyze, Construct and Execute
data-science decision-trees evaluation-metrics gridsearchcv logistic-regression machine-learning matplotlib python random-forest-classifier scikit-learn seaborn-plots
Last synced: 16 Dec 2024
https://github.com/abhipatel35/svm-hyperparameter-optimization-for-breast-cancer
Utilizing SVM for breast cancer classification, this project compares model performance before and after hyperparameter tuning using GridSearchCV. Evaluation metrics like classification report showcase the effectiveness of the optimized model.
breast-cancer cancer-diagnosis classification data-analysis data-science gridsearchcv healthcare hyperparameter-tuning jupyter-notebook machine-learning medical-imaging pycharm python scikit-learn support-vector-machine svm
Last synced: 19 Dec 2024
https://github.com/farzeennimran/fashion-mnist-dataset-classification-using-neural-network
Implementation of a Multi-layer Perceptron classifier with hyperparameter tuning and k-fold cross-validation employing GridSearchCV for classifying images on the Fashion MNIST dataset 👗👚👖
artificial-intelligence data-analysis data-mining data-science dataset deep-learning fashion-mnist-dataset gridsearchcv hyperparameter-tuning kfold-cross-validation machine-learning multilayer-perceptron-network neural-network numpy pandas python sklearn
Last synced: 07 Nov 2024
https://github.com/juzershakir/student-intervention
Predicting the likelihood that a given student will pass or not!
adaboost classification f1-score gridsearchcv logistic-regression machine-learning python2 random-forest scikit-learn student-intervention supervised-learning
Last synced: 09 Oct 2024
https://github.com/juzershakir/finding-donors-charityml
Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
adaboost charity charityml donations finding-donors gradient-boosting-classifier gridsearchcv letters machine-learning-engineering machine-learning-nanodegree machine-learning-tutorials model-tuning pandas python scikitlearn-machine-learning sgd-classifier supervised-learning supervised-learning-algorithms udacity
Last synced: 09 Oct 2024
https://github.com/juzershakir/predicting_boston_housing_prices
Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
bias-variance boston-housing-price-prediction data-exploration decision-tree-regression gridsearchcv k-fold machine-learning matplotlib mlfnd model-evaluation model-validation numpy pandas python3 r2-score sklearn supervised-learning udacity-nanodegree
Last synced: 09 Oct 2024
https://github.com/filsan95/project-twitter_bot_detection
Using a synthetic dataset from Kaggle, generated with Python's Faker library to mimic real Twitter data, we train several classical machine learning models (ie. classical classification algorithms, as well as ensemble methods)to identify bots from real users.
data-preprocessing decision-trees ensemble-model feature-engineering gradient-boosting-classifier gridsearchcv logistic-regression random-forest-classifier randomsearchcv
Last synced: 08 Nov 2024
https://github.com/dmarks84/ind_project_obesity-multi-class-classification--kaggle
Independent Project - Kaggle Competition -- I worked on the obesity classification data set as part of a Kaggle Competition of the same name, scoring (for accuracy) above 0.9
classification correlation-analysis cross-validation data-modeling data-visualization dataframes eda gridsearchcv matplotlib multiclass-classification numpy pandas python seaborn sklearn statistics supervised-ml
Last synced: 05 Nov 2024
https://github.com/aakashsyadav1999/hotel-reservations-dataset-mlflow
The online hotel reservation channels have dramatically changed booking possibilities and customers’ behavior. A significant number of hotel reservations are called-off due to cancellations or no-shows. The typical reasons for cancellations include change of plans, scheduling conflicts, etc.
dvc endtoendpipeline gridsearchcv machine-learning mlflow random-forest-classifier
Last synced: 13 Nov 2024
https://github.com/anas436/cars-price-pediction-evaluation-and-refinement-using-python
cross-validation-score gridsearchcv ibm-watson jupyter-notebook linear-regression matplotlib model-selection numpy pandas polynomial-features python3 ridge scikitlearn seaborn sklearn tqdm
Last synced: 06 Dec 2024
https://github.com/umasivakumar14/real_estate_ml_model
Predicts the price of a home in Bengaluru, Karnataka based on location, urbanization, total square feet, bedrooms, bathrooms, and balconies.
aws flask gridsearchcv http-requests machine-learning machine-learning-algorithms nginx pandas python scikit-learn
Last synced: 21 Dec 2024
https://github.com/bogumilo/house-prices-xgboost
House prices dataset exploration and prediction. Workflow includes useful examples of Tensorflow pipelines including k-Nearest Neighbors imputer, Decision Tree Regression and XGBoost Regression
column-transformer data-pipeline data-transformation decision-tree-regression decision-trees feature-engineering feature-scaling gridsearchcv house-price-prediction house-prices-competition kaggle-competition knnimputer machine-learning ohe python tensorflow tensorflow-tutorial xgboost xgboost-regression
Last synced: 21 Dec 2024
https://github.com/pronzzz/red-wine-quality
Machine Learning model to predict Red Wine Quality using Random Forest Classifier
gridsearchcv hyperparameter-tuning random-forest random-forest-classification random-forest-classifier
Last synced: 06 Nov 2024
https://github.com/vbhatsaccnt/car-price-predictor
This project focuses on predicting the price of old cars using various selling features like Transmission type, fuel type, Owner built on Random Forest Regression model.
data-science gridsearchcv machine-learning random-forest
Last synced: 10 Nov 2024
https://github.com/ksharma67/heart-failure-prediction
This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.
auc-roc-curve auc-roc-score decision-trees eda eli5 gridsearchcv lightgbm lime logistic-regression numpy pandas python random-forest seaborn shap skit-learn sklearn svm xgboost
Last synced: 06 Nov 2024
https://github.com/rahulb813/mvscr
An alternative movie recommendation system for the CineMatchSM with better predictions. Trained with a Kaggle dataset of over 450000+ entries.
gridsearchcv knn python scikit-learn scipy-sparse svd tensorflow xgboost
Last synced: 08 Nov 2024
https://github.com/kmohamedalie/face-recognition-pca-svm
Face Recognition (SVM , GridSearchCV, PCA, Ml-Pipeline)
classification face-recognition gridsearchcv machine-learning pipelining principal-component-analysis radial-basis-function support-vector-machines umass-boston
Last synced: 09 Nov 2024
https://github.com/kmohamedalie/credit-approval
Credit Approval using Xgboost and GridSearch CV
banking classification finance gridsearchcv hyperparameter-tuning loan-eligibility xgboost-classifier
Last synced: 09 Nov 2024
https://github.com/yhunlu/machine-learning-sklearn
sklearn-machine-learning-fundamentals #Data Science
classification-models gridsearchcv hyperparameter-optimization hyperparamter-tuning kaggle machine-learning pipeline random-forest randomsearch-cv regression-models sklearn
Last synced: 09 Nov 2024
https://github.com/haimgoldfisher/data_visualization_final_project
Final project of the Data Visualization course, Ariel university.
adaboost bayesian-learning catboost ensemble-learning gradient-boosting gridsearchcv matplotlib numpy pandas plotly seaborn semi-supervised-learning voting-classifier
Last synced: 12 Nov 2024
https://github.com/gakas14/california_house_price_prediction
Build a model to predict the median house values in California.
finance-and-housing gridsearchcv linear-regression machine-learning python randomforestregressor regression-models
Last synced: 08 Nov 2024
https://github.com/machine-learning-tools/keras-grid-search-cacheable
Reducción de tiempo de ejecución de los algoritmos de Machine Learning con búsqueda de parámetros en GridSearch.
gridsearch gridsearchcv keras machine-learning sklearn tensorflow2 tools
Last synced: 09 Nov 2024
https://github.com/winterwind/classification_regression_and_cross-validation
A three-part project that does as the title suggests with different machine learning models
classification cross-validation data-science decision-tree grid-search gridsearchcv jupyter jupyter-notebook kneighborsclassifier kneighborsregressor machine-learning python random-forest regression xgboost
Last synced: 15 Dec 2024
https://github.com/trilokida/kaggle
forecast gridsearchcv house-price-prediction kaggle-competition kaggle-dataset kaggle-solution kaggle-titanic machine-learning mini-course onehot-encoding pipeline random-forest sales sklearn-library support-vector-machines xgboost-regression
Last synced: 16 Nov 2024
https://github.com/harmanveer-2546/prediction-of-ticket-cancellation
The objective is to develop a model that accurately predicts whether users will cancel their tickets. Each cancellation incurs a fine for the ticket registration site from the passenger company.
datetime evaluation gridsearchcv labelencoder numpy pandas standardscaler stratified-k-fold train-test-split xgboost-model
Last synced: 12 Nov 2024
https://github.com/harmanveer-2546/diabetes-prediction-using-machine-learning
Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.
adaboost decision-trees gradient-boosting-classifier gridsearchcv knn-classification machine-learning numpy os pandas pickle python random-forest seaborn svc-model
Last synced: 12 Nov 2024
https://github.com/linggarm/news-category-classification-using-tf-idf-vectorizer-and-multinomial-naive-bayes
News Category Classification using TF-IDF Vectorizer and Multinomial Naive Bayes with Hyperparameter Tuning
artificial-intelligence classification data-science gridsearchcv hyperparameter-tuning machine-learning multinomial-naive-bayes naive-bayes-classifier natural-language-processing news-category-prediction news-classification nlp python supervised-learning text-classification tf-idf
Last synced: 11 Nov 2024
https://github.com/hariprasath-v/hackerearth--cipla-data-scientist-hiring-challenge
This machine learning challenge is about predicting the loan sanction amount from the customer's basic account transaction details and requested loan amount.
exploratory-data-analysis gridsearchcv machine-learning matplotlib seaborn xgboost-regression
Last synced: 13 Nov 2024
https://github.com/nouranhaitham/ml_waterquality
A notebook aimed at predicting and improving water safety by analyzing contaminants and pollution levels in water sources, enhancing public health and ensuring access to clean drinking water.
classification-models cleansing-data dataprocessing dataset decision-trees gridsearchcv hyperparameter-tuning logistic-regression machine-learning prediction python randomforestclassifier regression-models water-quality
Last synced: 15 Nov 2024
https://github.com/fayzi-dev/scikit_learn
scikit_learn
confusion-matrix decision-tree drop gridsearchcv missing-data onehotencoder pipeline roccurve startify
Last synced: 24 Nov 2024
https://github.com/safaa-p/fraudulent-insurance-claims-detection
Different models to detect if a claim is fraudulent or not
decisiontreeclassifier gridsearchcv insurance logistic-regression machine-learning-algorithms naive-bayes-classifier smote-sampling supervised-machine-learning undersampling xgboost
Last synced: 15 Nov 2024
https://github.com/estelacode/data_science
📈📊 Data Science Notebooks . ▫️ Aplicación de algoritmos de ML para la resolución de problemas de aprendizaje supervisado (Clasificación y Regresión)
bagging boosting confusion-matrix decisiontreeclassifier feature-engineering feature-extraction feature-selection gaussian-naive-bayes gridsearchcv kneighborsregressor lda linear-regression logistic-regression machine-learning mlpregressor pca python roc-curve stackingregressor svm
Last synced: 26 Nov 2024
