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pragmaticpython / k-nearest-neighbors-python

Star 10

An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.

python machine-learning machine-learning-algorithms python3 machinelearning knn k-nearest-neighbours knearest-neighbor-algorithm k-nn knearest-neighbor-classifier knn-classification k-nearest-neighbor knn-model k-nearest-neighbors knn-classifier knearest-neighbors-classifier knearest-neighbor-classification knearest-neighbors knn-algorithm k-nearest-neighbors-k-nn
  • Updated Mar 3, 2019
  • Python

ankushmallick1100 / Sentiment-Analysis-for-drug-reviews-tweets

Star 1

Here we are making a predictive system to measure the sentiment of each review or tweet, whether it is 1 (Positive Sentiment) or 0 (Negative Sentiment). In this work, LGBM Classifier, XGBooost Classifier, CatBoost Classifier, Random Forest Classifier, Gradient Boosting Classifier, K-Nearest Neighbors, and Logistic Regression are used.

machine-learning sentiment-analysis random-forest machine-learning-algorithms sentiment xgboost logistic-regression drugs stopwords sentiment-classification textblob gradient-boosting knearest-neighbor-classifier gradientboostinclassifier catboost knearest-neighbors labelencoder lgbmclassifier labelencoding snowballstemmer
  • Updated Oct 26, 2024
  • Jupyter Notebook

ms-daniel / II-Projeto-IA

Star 1

Esse pequeno projeto tem como objetivo fazer testes de acurácia com rede neural com apenas um neurônio sem classificadores e com 2 (dois) classificadores, sendo eles KNN e 1R.

tkinter perceptron knearest-neighbor-algorithm 1r knearest-neighbor-classifier knn-classification kneighborsclassifier tkinter-gui tkinter-python knearest-neighbor-classification knearest-neighbors one-rule one-rule-classifier oneruleclassifier onerclassifier
  • Updated Nov 20, 2022
  • Python

ashiqueeelahi / Flight-Delay-Prediction-Challenge

Star 1

n this project I used different regression algorithms to predict flight delay. I used Kaggles free GPUs and Datasets from Zindi in this project. Those different algorithms include random forrest, decision tree, xgboost and so on. Initially I used feature engineering and used data visualization techniques to get my data into the best shape.

random-forest regression xgboost lightgbm knearest-neighbors
  • Updated Nov 17, 2020
  • Jupyter Notebook

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