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yogeshwaran-shanmuganathan / Airline-Passenger-Satisfaction

Star 24

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 14

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

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 May 31, 2024
  • Jupyter Notebook

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

Star 1

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

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

Navneet2409 / cardiovascular-risk-prediction

Star 1

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

GunturWibawa / TelecomChurnPrediction

Star 0

Interconnect seeks to forecast customer churn by analyzing package choices and contracts. If a customer plans to leave, they're offered unique codes and special packages to foster loyalty.

numpy sklearn pandas python3 logistic-regression matplotlib decision-tree-classifier svm-classifier gradient-boosting voting-classifier random-forest-classifier knn-classifier lgbmclassifier adaboost-classifier cat-boost-algorithm
  • Updated Aug 7, 2023
  • Jupyter Notebook

davidocmartins / Machine_Learning_Project

Star 0

Applied various algorithm models to solve a binary classification problem of predicting if a patient will suffer from a disease. Project done for Machine Learning course of Data Science Ms

python machine-learning logistic-regression ridge-regression knn hyperparameter-tuning decision-tree-classifier svm-classifier gradient-boosting extra-trees-classifier bagging-ensemble adaboost-classifier stacking-method
  • Updated May 15, 2023
  • Jupyter Notebook

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