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bagging-ensemble

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aayush301 / Machine-learning-lab

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This repository contains several ML algorithms wriiten from scratch that are covered in ML lab.

python linear-regression jupyter-notebook pandas naive-bayes-classifier artificial-neural-networks ensemble-learning adaboost data-preprocessing k-means-clustering k-nearest-neighbors decision-tree-id3 python-libraries stacking-ensemble bagging-ensemble model-training-and-evaluation ml-algorithms-from-scratch decision-tree-c45 decision-tree-cart
  • Updated May 26, 2023
  • Jupyter Notebook

StrangeCoder1729 / FinancialFraudDetectionModels

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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

edwinthomas444 / machine-learning

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e2e machine learning pipeline using a config based approach for classification problems. Supports grouping and grading classifiers in addition to online learning algorithms

machine-learning-algorithms support-vector-machine decision-tree-classifier online-learning model-evaluation gradient-boosting knearest-neighbor-classifier random-forest-classifier drift-detection streaming-data-processing k-fold-cross-validation bagging-ensemble roc-auc-curve hold-out-cross-validation
  • Updated Dec 25, 2022
  • Python

SudeepSinha09 / Kaggle-Marketing_Strategy-Personalised_Offer-Problem

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The Personalized Offer Marketing Strategy project develops a marketing strategy for a restaurant that offers personalized discounts/offers. It uses a survey to understand user behavior and machine learning algorithms to develop a personalized marketing strategy. The outcomes will increase revenue and customer satisfaction.

python machine-learning numpy sklearn machine-learning-algorithms cross-validation pandas kaggle kaggle-competition classification kaggle-dataset bagging-ensemble boosting-ensemble
  • Updated Apr 11, 2023
  • Jupyter Notebook

MrTejas / ML-Algos

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A collection of fundamental Machine Learning Algorithms Implemented from scratch along-with their applications for various ML tasks like clustering, thresholding, data analysis, prediction, regression and image classification.

machine-learning random-forest pca-analysis adaboost decision-trees kernel-density-estimation hidden-markov-models gradient-boosting mlp-regressor knn-classification mlp-classifier gmm-clustering stacking-ensemble multinomial-logistic-regression bagging-ensemble
  • Updated Jan 23, 2024
  • Jupyter Notebook

amithganga / Capstone-Project

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The objective of this project is to build a “Risk Analytics model” to understand the renewal potential and claim propensity of Existing Customers under Personal Auto Insurance Lines. The final models for claims and renewals were able to accurately identifies over 70% of claims & 85% renewals.

data-science logistic-regression confusion-matrix predictive-modeling descriptive-statistics decision-tree-classifier boosting knn-classification vizualisation bagging-ensemble
  • Updated May 19, 2021

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