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emircanakyuzz / Makine_Ogrenmesi_Algoritmalari-Machine_Learning_Algorithms

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Bu çalışmamda "Makine Öğrenmesi" algoritmaları üzerine çalıştım. Bu algoritmaları veri seti üzerinde uygulayarak tahminlerde bulundum ve sonuçları analiz ettim.

python machine-learning specificity artificial-intelligence naive-bayes-classifier accuracy recall support-vector-machines roc-curve precision k-nearest-neighbours f1-score multilayer-perceptron
  • Updated Nov 7, 2024
  • Python

virajbhutada / telecom-customer-churn-prediction

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Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Uncover key factors driving churn and gain valuable insights into customer behavior with interactive Power BI visualizations. Empower your decision-making process with data-driven strategies and improve customer retention.

data-science machine-learning neural-network python-library machine-learning-algorithms eda pandas data-analysis logistic-regression powerbi roc-curve decision-tree-classifier churn-prediction machine-learning-models random-forest-classifier classification-models customer-churn-prediction customer-attrition-analysis xgboost-classifier powerbi-desktop
  • Updated Oct 30, 2024
  • HTML

virajbhutada / breast-cancer-prediction

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The ML-based Breast Cancer Prediction Model classifies breast tumors as benign or malignant by analyzing key medical features from biopsy data. It offers healthcare professionals a reliable tool for diagnosis and treatment, showcasing the power of AI in healthcare with a focus on precision in detecting malignant tumors to improve patient outcomes.

data-science machine-learning random-forest naive-bayes exploratory-data-analysis xgboost logistic-regression decision-trees breast-cancer-prediction predictive-modeling data-processing support-vector-machines roc-curve precision f1-score benign-vs-malignant recall-score
  • Updated Oct 20, 2024
  • Jupyter Notebook

estelacode / data_science

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📈📊 Data Science Notebooks . ▫️ Aplicación de algoritmos de ML para la resolución de problemas de aprendizaje supervisado (Clasificación y Regresión)

python machine-learning svm linear-regression feature-selection feature-extraction pca logistic-regression confusion-matrix feature-engineering lda roc-curve boosting bagging gridsearchcv decisiontreeclassifier gaussian-naive-bayes mlpregressor stackingregressor kneighborsregressor
  • Updated Sep 8, 2024
  • Jupyter Notebook

paulapoley / bone-marrow-transplant-analysis

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Análisis predictivo de trasplante de médula ósea en pacientes pediátricos utilizando modelos de regresión logística y random forest. Incluye análisis y visualizaciones de datos clínicos para predecir la recaída post-trasplante.

data-science machine-learning r random-forest rmarkdown logistic-regression data-preprocessing predictive-modeling roc-curve regression-analysis feature-importance healthcare-analytics
  • Updated Sep 2, 2024

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