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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

jarrodtky / bachelordegree-capstone

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An Opinion Analysis: What Do Customers Say About Hotel Ratings and Reviews in Malaysia?

python data-science machine-learning sentiment-analysis random-forest exploratory-data-analysis sas data-visualization naive-bayes-classifier supervised-learning classification data-analysis adaboost opinion-mining unsupervised-learning powerbi decision-tree r-programming bagging-ensemble hotel-data-analysis
  • Updated Sep 15, 2022
  • Jupyter Notebook

Ayda-Darvishan / Tuning-ML-Classifiers

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The project includes building seven different machine learning classifiers (including Linear Regression, Decision Tree, Bagging, Random Forest, Gradient Boost, AdaBoost, and XGBoost) using Original, OverSampled, and Undersampled data of ReneWind case study, tuning hyperparameters of the models, performance comparisons, and pipeline development f…

pipeline random-forest exploratory-data-analysis cross-validation supervised-learning xgboost adaboost tuning-parameters gradient-boosting oversampling undersampling gridsearchcv randomizedsearchcv bagging-ensemble boosting-ensemble
  • Updated May 9, 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

LinggarM / Ensemble-Learning-Comparison-on-Diabetes-Classification

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Comparison of ensemble learning methods on diabetes disease classification with various datasets

python machine-learning ensemble-learning adaboost stacking gradient-boosting boosting bagging ensemble-machine-learning ensemble-methods diabetes-prediction extreme-gradient-boosting stacking-ensemble bagging-ensemble light-gradient-boosting-machine boosting-ensemble cat-boost
  • Updated Nov 6, 2023
  • 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

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