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mahnoorsheikh16 / Loan-Default-Prediction

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Credit risk is the borrower’s inability to repay a loan. Machine Learning models can predict risky customers and reduce lender losses. By analyzing behavior and demographics of past customers, these insights can apply to future customers for better loan decisions. This study aims to find the most suitable model for predicting loan defaults.

python data-science machine-learning exploratory-data-analysis naive-bayes-classifier logistic-regression support-vector-machines data-cleaning decision-tree-classifier loan-default-prediction random-forest-classifier pre-processing credit-card-fraud-detection xgboost-classifier auc-score binary-classification-algorithms
  • Updated Sep 19, 2024
  • Jupyter Notebook

SubhangiSati / Amazon_ML_Challenge_2024

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The repo consists of Amazon ML challenge 2024, It is about detecting specific text (specific features) from image based dataset. It is a combination of OCR+NLP, then Naive Bayes classification is done.

python machine-learning natural-language-processing big-data image-processing naive-bayes-classifier ocr-recognition ocr-text-reader tf-idf-vectorizer easyocr-library amazon-ml-challenge
  • Updated Sep 19, 2024
  • Jupyter Notebook

CrisVSSTUDIO / AtomicBit99

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An single page web application to manage files, using a bit of machine learning for my academic research

php vuejs single-page-app augmented-reality linear-regression laravel-framework naive-bayes-classifier model-viewer 3d-models classification-algorithims php-ml tailwindcss spatie-laravel-permission file-management-system apexcharts filepond-javascript-library bootstrap-icons tsparticles laravel-splade floatui
  • Updated Sep 17, 2024
  • JavaScript

sanjanahombal / Study-on-Sentiment-Analysis

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This project explores the optimal combination of Bag-of-Words and TF-IDF vectorization with Naive Bayes and SVM for sentiment analysis. It evaluates performance using accuracy, precision, recall, and F1-score, addressing ethical concerns like data privacy and bias to improve sentiment classification in real-world applications.

numpy sklearn pandas seaborn naive-bayes-classifier bag-of-words svm-classifier confusionmatrix matplotlib-pyplot tfidf-vectorizer googlecollab gridsearch-crossvalidation
  • Updated Sep 16, 2024
  • Python

chihiroanihr / COMP472-A1_F2021

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This COMP472 AI project implements text classification on BBC news articles and drug classification using various machine learning algorithms. It utilizes Python and scikit-learn to preprocess data, train models, and analyze performance, focusing on Naive Bayes, Decision Trees, and Neural Networks.

machine-learning text-classification naive-bayes scikit-learn pandas python3 naive-bayes-classifier matplotlib perceptron performance-analysis data-preprocessing decision-trees multi-layer-perceptron decision-tree-classifier model-evaluation multinomial-naive-bayes python38 drug-classification
  • Updated Sep 16, 2024
  • Python

xgagandeep / Machine-Learning-Algorithms-without-using-ML-libraries.

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This repository contains various links for repo for implementations of machine learning algorithms from scratch using Python

machine-learning linear-regression machine-learning-algorithms image-processing naive-bayes-classifier face-recognition machinelearning image-segmentation decision-trees kmeans-clustering multivariate-regression knn-classification regression-trees
  • Updated Sep 11, 2024
  • Jupyter Notebook

singhsourav0 / Machine-Learning-Algorithms

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Explore a broad range of machine learning algorithms, including ML, RF, SVM, LR, NB, PCA, LogReg, DT, KMeans, SVMC, GD, HClust, DBSCAN, ICA, KNN, and more, within this repository. Gain practical insights and apply these diverse ML concepts effectively.

machine-learning random-forest svm linear-regression machine-learning-algorithms naive-bayes-classifier pca logistic-regression decision-trees kmeans-clustering svm-classifier gradient-descent-algorithm hierarchical-clustering dbscan-clustering ica knn-classification
  • Updated Sep 11, 2024
  • Jupyter Notebook

mituskillologies / ml-metbkcioe-jul24

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Programs of "Machine Learning" student training program conducted at MET BKC's Institute of Engineering, Nashik during 22nd July to 30th July 2024.

engineering data-science machine-learning deep-learning machine-learning-algorithms data-visualization artificial-intelligence naive-bayes-classifier supervised-learning artificial-neural-networks support-vector-machine decision-trees unsupervised-learning knn-classification sppu-computer-engineering
  • Updated Sep 10, 2024
  • Jupyter Notebook

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