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bagging-ensemble

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alifrmf / Mobile-Price-Prediction-Classification-Analysis

Star 15

Supervised Machine Learning Analysis Using Classification Models

python data-science random-forest svm exploratory-data-analysis machine-learning-algorithms supervised-learning xgboost hyperparameter-optimization classification ensemble-learning adaboost preprocessing decision-trees gradient-boosting voting-classifier mobile-price-prediction bagging-ensemble boosting-ensemble pruning-optimization
  • Updated Jul 10, 2023
  • Jupyter Notebook

somjit101 / Facebook-Friend-Recommendation

Star 11

This is a friend recommendation systems which are used on social media platforms (e.g. Facebook, Instagram, Twitter) to suggest friends/new connections based on common interests, workplace, common friends etc. using Graph Mining techniques. Here, we are given a social graph, i.e. a graph structure where nodes are individuals on social media plat…

machine-learning graph graph-algorithms social-network cross-validation xgboost graph-theory decision-trees social-network-analysis decision-tree-classifier gradient-boosting graph-similarity randomizedsearchcv bagging-ensemble boosting-ensemble facebook-friend-recommendation
  • Updated Feb 15, 2024
  • Jupyter Notebook

rochitasundar / Customer-profiling-using-ML-EasyVisa

Star 7

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
  • Jupyter Notebook

StrangeCoder1729 / FinancialFraudDetectionModels

Star 3

Developed and evaluated machine learning and deep learning models for detecting financial fraud.

python finance machine-learning deep-learning neural-network naive-bayes-classifier artificial-neural-networks logistic-regression convolutional-neural-network decision-tree-classifier knn-classification ensemble-classifier random-forest-classifier xgboost-classifier financial-fraud bagging-ensemble boosting-ensemble financial-fraud-detection
  • Updated May 12, 2024
  • Jupyter Notebook

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