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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 house-price-prediction grid-search-hyperparameters gridsearchcv lgbm streamlit lgbmregressor streamlit-dashboard grid-search-cross-validation grid-search-cv streamlit-application streamlit-sharing streamlit-ui lgbm-regressor

Updated Jul 10, 2022
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rochitasundar / Customer-profiling-using-ML-EasyVisa

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The aim is to find an optimal ML model (Decision Tree, Random Forest, Bagging or Boosting Classifiers with Hyper-parameter Tuning) to predict visa statuses for work visa applicants to US. This will help decrease the time spent processing applications (currently increasing at a rate of >9% annually) while formulating suitable profile of candidate…

decision-tree-classifier gradient-boosting-classifier f1-score random-forest-classifier grid-search-hyperparameters precision-recall accuracy-metrics xgboost-classifier stacking-ensemble adaboostclassifier bagging-ensemble grid-search-cross-validation

Updated Jan 20, 2022
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santiagoahl / world-happiness-api

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A Machine Learning Model built in scikit-learn using Support Vector Regressors, Ensemble modeling with Gradient Boost Regressor and Grid Search Cross Validation.

flask scikitlearn-machine-learning gradient-boosting-regressor grid-search-cross-validation svr-regression-prediction

Updated Nov 10, 2022
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avestura / scikit-heart-disease-classifier

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💚 A heart disease classifier using 4 SVM kernels and decision trees, with PCA, ROC, pruning, grid search cv, confusion matrix, and more

svm rbf-kernel pca pruning confusion-matrix roc decision-tree decision-tree-classifier svm-classifier linear-kernel one-hot-encoding grid-search-cross-validation cost-complexity-pruning poly-kernel sigmoid-kernel

Updated Dec 10, 2020
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deepakdeedar / Machine-Learning-Reboot

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This repo contains all machine learning algorithms using python and scikit-learn

machine-learning numpy linear-regression sklearn cross-validation pandas python3 seaborn feature-extraction logistic-regression matplotlib regularization feature-engineering py grid-search-cross-validation

Updated Jan 26, 2022
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angeloruggieridj / MLPClassifier-with-GridSearchCV-Iris

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Experimental using on Iris dataset of MultiLayerPerceptron (MLP) tested with GridSearch on parameter space and Cross Validation for testing results.

confusion-matrix mlp-classifier grid-search-hyperparameters gridsearchcv grid-search-cross-validation

Updated Sep 21, 2020
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iamkirankumaryadav / Improvement

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Improving a Machine Learning Model

python numpy pandas matplotlib f1-score gridsearchcv accuracy-score randomizedsearchcv randomforestclassifier randomized-search-cross-validation grid-search-cross-validation precision-score recall-score

Updated Jun 5, 2020
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bhulston / Random-Forest-on-Cancer-Classification

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Built Random Forest classifier from scratch on top of Scikit Learn decision trees. Using Scikit Learn to create data cleaning pipelines, perform grid searches for hyper parameter tuning, and decision tree modeling

scikit-learn hyperparameter-optimization visualizations decision-tree-classifier cross-validation-score sklearn-pipeline seaborn-plots grid-search-cross-validation

Updated Feb 3, 2023
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vaitybharati / SVM

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SVM

python svm confusion-matrix svm-classifier svc grid-search-cross-validation

Updated Nov 22, 2020
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gauravsharma884 / Big-Data-And-Data-Analytics

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This repository contains all the work projects carried out with respect to learning and experiments on Big Data Analytics. The scripts are formed to build machine learning models for future predictions.

machine-learning analytics pipeline-framework data-structures data-analysis feature-engineering hyperparameter-tuning random-search grid-search-cross-validation

Updated Aug 29, 2022
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hardikasnani / classifying-and-clustering-the-newsgroups

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I leveraged an algorithmic approach for document classification and document clustering. Various models have been trained for document classification and they all have been evaluated using performance metrics followed by tuning of the model hyper-parameters to reach the most accurate classification. Additionally, a model has been trained for doc…

machine-learning word-cloud naive-bayes-classifier supervised-learning dimensionality-reduction document-classification vectorization unsupervised-learning principal-component-analysis hyperparameter-tuning document-clustering svm-classifier k-means-clustering natural-language-toolkit knn-classifier 20-newsgroup-dataset grid-search-cross-validation

Updated Jul 8, 2022
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Shikhar0605 / Credit-card-fraud-detection

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Applied SVC classifier and Logistic Regression classifier algorithm onto credit card transaction dataset to detect any fraud.

cross-validation logistic-regression svc-model matplotlib-pyplot grid-search-cross-validation dummy-classifier

Updated Oct 21, 2020
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iamkirankumaryadav / Churn

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Customer Churn Prediction

python numpy scikit-learn exploratory-data-analysis pandas seaborn model-selection ensemble-learning matplotlib preprocessing churn-prediction random-forest-classifier accuracy-score minmaxscaler sweetviz grid-search-cross-validation ridgeclassifier

Updated Jan 11, 2021
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TonmoyTalukder / Churning-Telecom-Company-Prediction

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confusion-matrix decision-trees decision-tree-classifier classification-report one-hot-encoding grid-search-cross-validation roc-auc-curve

Updated Oct 16, 2021
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natvalenz / uglyXmas

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Retail data analysis using machine learning techniques in Python and Sklearn packages to help Ugly Christmas Party determine how many sweaters to order for each ugly Christmas sweater design created.