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yogeshwaran-shanmuganathan / Airline-Passenger-Satisfaction

Star 25

Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.

python random-forest exploratory-data-analysis jupyter-notebook naive-bayes-classifier logistic-regression decision-tree-classifier customer-satisfaction factors knn-classification rapidminer xgboost-algorithm crisp-dm airline-passengers adaboost-classifier passenger-satisfaction airline-passenger-satisfaction
  • Updated Sep 1, 2023
  • Jupyter Notebook

Snigdho8869 / Multiclass-Text-Classification

Star 19

Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.

nlp natural-language-processing neural-network gru flask-application ensemble-learning logistic-regression support-vector-machines gradient-boosting-classifier cnn-model keras-tensorflow random-forest-classifier rnn-lstm bert-fine-tuning xlnet-fine-tuning adaboost-classifier
  • Updated Apr 10, 2023
  • Jupyter Notebook

Ruban2205 / Machine_learning_fundamentals

Star 7

This repository contains a collection of fundamental topics and techniques in machine learning. It aims to provide a comprehensive understanding of various aspects of machine learning through simplified notebooks. Each topic is covered in a separate notebook, allowing for easy exploration and learning.

python data-science machine-learning machine-learning-algorithms ensemble-learning data-preprocessing self-organizing-map fuzzy-cmeans-clustering apriori-algorithm machine-learning-models multilayer-perceptron agglomerative-clustering random-forest-classifier single-layer-perceptron adaboost-classifier
  • Updated Sep 18, 2023
  • Jupyter Notebook

krish1919ls / machine_learning_models

Star 2

Assignments from Applied Machine Learning Class (UTD BUAN-6341)

python linear-regression expectation-maximization artificial-neural-networks logistic-regression random-projections principal-component-analysis hyperparameter-tuning decision-tree-classifier gradient-descent-algorithm support-vector-classifier k-means-clustering independent-component-analysis knn-classifier adaboost-classifier
  • Updated Feb 27, 2022
  • Jupyter Notebook

tboudart / Life-Expectancy-Regression-Analysis-and-Classification

Star 2

I contributed to a group project using the Life Expectancy (WHO) dataset from Kaggle where I performed regression analysis to predict life expectancy and classification to classify countries as developed or developing. The project was completed in Python using the pandas, Matplotlib, NumPy, seaborn, scikit-learn, and statsmodels libraries. The r…

python numpy scikit-learn pandas seaborn naive-bayes-classifier jupyter-notebooks ridge-regression statsmodels decision-tree-classifier gradient-boosting-classifier lasso-regression support-vector-classifier random-forest-classifier random-forest-regression ordinary-least-squares matplotlib-pyplot k-nearest-neighbor-classifier adaboost-classifier
  • Updated Jun 29, 2021
  • Jupyter Notebook

Navneet2409 / cardiovascular-risk-prediction

Star 2

The project aims to predict the 10-year risk of future coronary heart disease (CHD) for patients in Framingham, Massachusetts. A dataset (3390,16) containing demographic, behavioral, and medical risk factors of patients is used to build a classification model.

python data-science machine-learning data-analysis logistic-regression feature-engineering decision-tree-classifier svm-classifier random-forest-classifier knn-classifier xgboost-classifier lightgbm-classifier adaboost-classifier
  • Updated Mar 7, 2023
  • Jupyter Notebook

SimranS22 / Heart-Disease-Prediction-Model-SurTech

Star 2

A ML application(deployed on flask) to detect heart disease in patients based on medical features.

python machine-learning jupyter-notebook data-visualization naive-bayes-classifier data-analysis ensemble-learning logistic-regression decision-tree-classifier svm-classifier random-forest-classifier knn-classifier xgboost-classifier bagging-ensemble github-codespaces adaboost-classifier
  • Updated Jun 26, 2024
  • Jupyter Notebook

amir-rs / Diabetes-Detection-Neural-Network

Star 1

This project aims to predict the occurrence of diabetes using machine learning techniques. The dataset used for this analysis is the "diabetes_prediction_dataset.csv" file, which contains various features related to an individual's health condition.

machine-learning neural-networks logistic-regression decision-tree-classifier gradient-boosting-classifier receiver-operating-characteristic random-forest-classifier area-under-curve adaboost-classifier
  • Updated Apr 10, 2024
  • Jupyter Notebook

albertoparenti / Machine-Learning-Project

Star 0

Applied numerous algorithm models to solve a binary classification problem of predicting if any given prospective customer converts to a sale, through the company’s online sales channel.

machine-learning naive-bayes-classifier neural-networks logistic-regression support-vector-machine predictive-modeling decision-tree-classifier knn-classification random-forest-classifier extra-trees-classifier binaryclassification voting-method ensamble-methods adaboost-classifier stacking-method
  • Updated Apr 26, 2022
  • Jupyter Notebook

Bharati2301 / Algorithms

Star 0
deep-learning linear-regression machine-learning-algorithms artificial-intelligence naive-bayes-classifier artificial-neural-networks logistic-regression support-vector-machines breadth-first-search knn hidden-layers depth-first-search principal-component-analysis decision-tree-classifier gradient-boosting voting-classifier random-forest-classifier a-star-search greedy-best-first-search adaboost-classifier
  • Updated Dec 2, 2022
  • Jupyter Notebook

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