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luuisotorres / Credit-Card-Fraud-Detection

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For this project, I used four different classification algorithms to detect fraudulent credit card transactions.

python data-science machine-learning scikit-learn sklearn machine-learning-algorithms pandas data-visualization feature-engineering decision-tree-classifier gradient-boosting-classifier classification-algorithm gradientboostinclassifier random-forest-classifier ada-boost-classifier classification-model credit-card-fraud-detection adaboost-algorithm adaboostclassifier
  • Updated Jun 24, 2022
  • Jupyter Notebook

Harmanveer2546 / Diabities-Prediction

Star 1

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.

machine-learning random-forest metrics numpy os pandas seaborn matplotlib decision-trees svc knn-classification gradientboostinclassifier gridsearchcv adaboostclassifier
  • Updated Jun 27, 2023
  • Jupyter Notebook

niketan108 / RF-and-GBDT-using-XGBOOST-on-amazon-food-dataset

Star 1

Built Random Forest and GBDT using XGBOOST model on Amazon fine food review dataset

bootstrap machine-learning random-forest machine-learning-algorithms artificial-intelligence xgboost gbdt boosting-algorithms ensemble-model boosting bagging xgboost-algorithm ensemble-classifier gradientboostinclassifier xgboost-model emsembling boosting-tree xgboost-python amazonfinefoodreviews boosting-algorithm
  • Updated Apr 4, 2019
  • Jupyter Notebook

ankushmallick1100 / Sentiment-Analysis-for-drug-reviews-tweets

Star 1

Here we are making a predictive system to measure the sentiment of each review or tweet, whether it is 1 (Positive Sentiment) or 0 (Negative Sentiment). In this work, LGBM Classifier, XGBooost Classifier, CatBoost Classifier, Random Forest Classifier, Gradient Boosting Classifier, K-Nearest Neighbors, and Logistic Regression are used.

machine-learning sentiment-analysis random-forest machine-learning-algorithms sentiment xgboost logistic-regression drugs stopwords sentiment-classification textblob gradient-boosting knearest-neighbor-classifier gradientboostinclassifier catboost knearest-neighbors labelencoder lgbmclassifier labelencoding snowballstemmer
  • Updated Oct 26, 2024
  • Jupyter Notebook

vicaaa12 / advanced-machine-learning

Star 0

Advanced Machine Learning

exploratory-data-analysis ensemble-learning outlier-detection confusion-matrix data-preprocessing hyperparameter-tuning model-comparison correlation-matrix feature-importance gradientboostinclassifier xgboost-classifier randomforest-classification missing-value-imputation randomsearchcv adaboost-classifier oversampling-technique undersampling-technique bagging-classifier model-performance-comparison
  • Updated Feb 23, 2024
  • Jupyter Notebook

Ahmed-Maher77 / Diabetes-Prediction-App-using-Machine-Learning

Star 0

Diabetes Prediction: Using machine learning to classify individuals as diabetic or non-diabetic based on health data, enabling early intervention and improved healthcare outcomes.

javascript css python data-science machine-learning ai numpy pandas seaborn matplotlib webdevelopment gradientboostinclassifier logisticregression streamlit randomforestclassifier supportvectormachine
  • Updated May 21, 2024
  • CSS

saranggalada / ML_OnlineNewsPopularity

Star 0

Predicting the Popularity of Online News using numerous Machine Learning techniques along with a comparative analysis of their performances.

python machine-learning scikit-learn exploratory-data-analysis pandas classification dimensionality-reduction ensemble-learning decision-trees support-vector-machines principal-component-analysis elasticnet gradientboostinclassifier random-forest-classifier adaboostclassifier
  • Updated Sep 17, 2023
  • Jupyter Notebook

AdityaTheDev / InstagramFakeAccount-Prediction

Star 0

Social media fake accounts and spam accounts have become a huge problem these days. Some had spammed me twice on Instagram. Here I have used various Machine learning techniques to spot the fake/spam accounts

instagram machine-learning random-forest hyperparameter-optimization classification ensemble-learning hyperparameter-tuning decision-tree-classifier socialmedia socialmediaanalytics gradientboostinclassifier gridsearchcv binaryclassification
  • Updated Sep 12, 2021
  • Jupyter Notebook

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