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k-nearest-neighbor-classifier

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fitria-dwi / Hoax-Detection

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This project aims to build a model to predict the truth of an article, hoax or non-hoax. Apart from that, this project also wants to identify the percentage of hoax and non-hoax articles.

text-mining neural-network machine-learning-algorithms logistic-regression unsupervised-learning support-vector-machines decision-tree-classifier random-forest-classifier gaussian-naive-bayes k-nearest-neighbor-classifier hoax-detection
  • Updated May 26, 2024
  • Jupyter Notebook

HassanMahmoodKhan / Exploring-Global-Income-Disparity-Modeling-and-Analysis

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This project aims to predict the income bracket of individuals based on a variety of features, and presents a holistic comparative analysis between multiple machine learning algorithms through hyperparameter optimization on a binary classification problem.

machine-learning random-forest hyperparameter-optimization classification support-vector-machine k-nearest-neighbor-classifier income-prediction
  • Updated Apr 6, 2024
  • Jupyter Notebook

CJMonahann / AI-Classification-Problem-Face-Detection-using-Face-Images-

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This project was developed for the CSC-481: Artificial Intelligence class at Southern Connecticut State University. The purpose of this assignment was to use the K-Nearest Neighbor classifier, as well as Decision Tree classifier, to create AI models that could identify the gender of an individual from the provided face dataset.

python ai artificial-intelligence decision-tree-classifier k-nearest-neighbours k-nearest-neighbor-classifier
  • Updated Mar 13, 2024
  • Python

sminerport / sminerport

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🌟 Scott Miner's GitHub portfolio showcasing personal projects, coding skills, and expertise in Software Development/Data Analytics/AI/ML. Get in touch for collaboration!

data-science machine-learning natural-language-processing artificial-intelligence naive-bayes-classifier data-analytics artificial-neural-networks software-engineering software-development natural-language-generation sequence-prediction text-augmentation k-nearest-neighbor-classifier
  • Updated Mar 6, 2024

vasupatelll / Email_Spam_Classifier

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A Machine Learning Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like MultinomialNB, LogisticRegression, SVC, DecisionTreeClassifier, RandomForestClassifier, KNeighborsClassifier, AdaBoostClassifier, BaggingClassifier, ExtraTreesClassifier, GradientBoostingClassifier, XGBClassifier to compare accuracy an

embeddings word-cloud logistic-regression support-vector-machines decision-tree-classifier gradient-boosting-classifier count-vectorizer sms-spam-detection porter-stemmer multinomial-naive-bayes random-forest-classifier ada-boost-classifier extra-trees-classifier gaussian-naive-bayes tfidf-vectorizer xgboost-classifier k-nearest-neighbor-classifier bernoulli-naive-bayes extra-tree-classifiers bagging-classifier
  • Updated Feb 28, 2024
  • Jupyter Notebook

RohitG57 / Estimation-of-obesity-levels-based-on-eating-habits-and-physical-condition

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This dataset include data for the estimation of obesity levels in individuals from the countries of Mexico, Peru and Colombia, based on their eating habits and physical condition. The data contains 17 attributes and 2111 records.

classification logistic-regression decision-tree-classifier support-vector-classifier random-forest-classifier xgboost-classifier k-nearest-neighbor-classifier
  • Updated Feb 23, 2024
  • Jupyter Notebook

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