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Snigdho8869 / Multiclass-Text-Classification

Star 27

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

nlp flask machine-learning natural-language-processing deep-learning neural-network text-classification 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 Mar 16, 2025
  • Jupyter Notebook

yogeshwaran-shanmuganathan / Airline-Passenger-Satisfaction

Star 27

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

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

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

Star 3

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

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

Navneet2409 / credit-card-default-prediction

Star 2

This project is aimed at predicting the case of customer's default payments. This dataset (30000,25) contains information on default payments, demographic factors, credit data, history of payment, and bill statements of credit card clients in Taiwan is used to build a classification model.

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

alef-s / Easy_Visa

Star 1

Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.

exploratory-data-analysis data-visualization xgboost data-processing hyperparameter-tuning gradient-boosting-classifier random-forest-classifier gridsearchcv adaboost-classifier stacking-classifier customer-profiling bagging-classifier
  • Updated Sep 7, 2023
  • Jupyter Notebook

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