GitHub topics: lgbmclassifier

Repositories

reputed-artist/Liver-Disease-Prediction-using-Ensemble-Machine-Learning-Method

Master degree project for liver disease prediction. i have improved the code reaching its accuracy to 98-99% from 70%.

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prayas7102/Kaggle-Competition-Solutions

This repository features my Kaggle projects, highlighting advanced techniques in data preprocessing, feature engineering, model selection, and optimization across various competitions.

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CrisCorreaS/AD-prediction-classification-models

Alzheimer's Disease (AD) prediction using the OASIS-2 dataset

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SevilayMuni/e-commerce-fraud-detection

Detecting fraudulent transactions in e-commerce data provided by Vesta Corporation.

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pavankethavath/Microsoft-Classifying-Cybersecurity-Incidents-with-ML

A machine learning pipeline for classifying cybersecurity incidents as True Positive(TP), Benign Positive(BP), or False Positive(FP) using the Microsoft GUIDE dataset. Features advanced preprocessing, XGBoost optimization, SMOTE, SHAP analysis, and deployment-ready models. Tools: Python, scikit-learn, XGBoost, LightGBM, SHAP and imbalanced-learn

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SleepyMiner/Heart-Attack-Prediction

Heart Attack Prediction using Logistic Regression, LGBM, XGB and Gaussian Naive Bayes.

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BeheshteSadeghi/TitanicSurvivalPrediction_PycaretPipelineGridSearchCV

The focus of this project is on Data Cleaning, Data Analysis, Gaining an insight from Pycaret Classification tool over best ML algorithms, hyperparameter tuning through GridSearchCV for top ML algorithms and generating Pipeline for the best algorithm.

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LohiyaH/AI-Based-Fraud-Detection

A comparative analysis of machine learning and deep learning algorithms for fraud detection, featuring XGBClassifier, CatBoostClassifier, and LGBMClassifier, as well as ANN, CNN, RNN, LSTM, and Autoencoders for performance benchmarking

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yashksaini-coder/Bank-Loan-Default

Objective is to develop a predictive model for a consumer finance company to identify potential loan defaulters. By analyzing historical loan data, & diff. data the factors that influences loan default rate.

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benitomartin/bank-churn-classification

Bank Churn Classification

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drkbluescience/AnadoluHayatEmeklilik_Datathon_2024

Predictive model to classify life insurance products based on customer profiles and behavioral data, developed as part of a group project for the Anadolu Hayat Emeklilik Datathon 2024, where we achieved 5th place.

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connect-web/OSRS-ML

MlFlow Project creating pipelines and using Grid-Search Cross Validation to find optimal parameters for Old School Runescape Machine Learning datasets.

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iamabhaytiwari343/mushroom_classification

The goal of this Project is to predict whether a mushroom is edible or poisonous based on its physical characteristics.

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5hraddha/interconnect

Interconnect : Clients Churn Prediction using ML

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5hraddha/sentiment-analysis

An innovative system for filtering and categorizing movie reviews

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prajwalp3/Cardiovascular-Disease-prediction-using-Machine-learning-models

Our project utilizes machine learning models to predict cardiovascular diseases (CVDs) by analyzing diverse datasets and exploring 14 different algorithms. The aim is to enable early detection, personalized interventions, and improved healthcare outcomes.

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Likhitha310/Heart-disease-detection-using-machine-learning

To detect heart disease using machine learning

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feliperastelli/FR_Health_Insurance_Cross_Sell

Learning to Rank - Cross Sell

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himanshu-03/Spaceship-Titanic-Kaggle-Competition

The task is to predict whether a passenger was transported to an alternate dimension during the Spaceship Titanic's collision with the spacetime anomaly. To help us make these predictions, we are given a set of personal records recovered from the ship's damaged computer system.

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brunodifranco/project-airbnb-classification

Predicting Next Booking Destinations for Airbnb Users. Feel free to access the Streamlit App in the link below.

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adelelwan24/Prediction-of-Obesity-Risk

This project tackles the growing concern of obesity by developing a model to predict an individual's risk. By analyzing various factors, we aim to identify people who might be more susceptible to weight gain and related health problems.

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nakshatrasinghh/Bank-Fears-Loanliness-Prediction

HackerEarth Machine Learning Problem solved with ❤️ by Nakshatra Singh.

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VikramBansall/Credit-Risk-Model-and-Analysis

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Ashishdheer/Precision-Agriculture

This approach has the potential to create accurate, generalizable and adaptable machine learning methods that effectively and sustainably address agricultural tasks such as yield prediction and early disease identification.

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Abhigyan76/Lithology-Prediction

Predicted the lithology of the formation using different algorithm

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hikmatullah-mohammadi/multi-class-cirrhosis

Kaggle Playground Series - Season 3, Episode 26 - Multi-Class Cirrhosis | EDA | MI-Score | Feature Engineering

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gabriel-solon-padilha/analise_de_sentimento_tweets_NLP

Décimo projeto de machine learning, dessa vez como foco em NLP para análise de sentimentos de posts do twitter.

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Denis-Mukhanov/music-genre-prediction

Practicum Workshop

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Amshra267/Recognizance-Prastuti

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Amshra267/Cassandra-Udyam

Contains our Approach for the competition organized at Udyam'21

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GunturWibawa/TelecomChurnPrediction

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.

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GunturWibawa/SentimentAnalysisJU

Junky Union is creating a system to sort movie reviews. They aim to train a model to detect negative reviews using the IMBD dataset with polarity labeling. The model must classify reviews as positive or negative with an F1 score of at least 0.85.

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harshwalia36/Early-Prediction-of-Mortality-Risk-among-Covid-19-Patients

Early prediction of Mortality Risk among Covid -19 Patients in early stages when patients gets admitted into the hospital.

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tianhao-ai/Detecting-Machine-Generated-Text-COMP90051-2023S1-Project-1

This project is about to detecting the text generated by different LLM given prompt. The instance is labeled by Human and Machine, and this project utilised both traditional machine learning method and deep learning method to classify the instance.

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Dhruv-Ojha/Crop_Yield_Analysis

Prediction of Crop based on various features such as Cost of Cultivation, Yield metrics, etc.

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angelicavelez/movie_critics_classifier_model_with-nlp

model to sentiment predict of movies reviews, using nlp

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arienugroho050396/Airline-Passenger-Satisfaction

Build machine learning model to predict airline passenger satisfaction with LGBMClassier, XGBClassifier and RandomForestClassifier

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KanikaMaheshwari1112/Student-Dropout-Prediction

The classification problem of student dropout data of an institute

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dianamerchan91/Proyecto13_AnalisisSentimiento_Peliculas

Análisis de sentimiento de reseñas de películas en una plataforma en línea.

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dwiputris/Machine-Learning-Anticipating-Churns-a-Case-of-Imbalanced-Data

With imbalanced observed data, a search for the best model is conducted. The bank is seeing its customers leave. Wondering if there are patterns to their decision to exit, the bank wishes to anticipate for this trend. When the positive class is the minority in an imbalanced dataset, a model need to be trained for robustness.

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SmellyArmure/OC_DS_Project7

Implémentation d'un modèle de scoring (OpenClassrooms | Data Scientist | Projet 7)

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SmellyArmure/OC_DS_Project7_api_flask

Déploiement d'une API Flask du modèle de classification déployée sur Heroku (OpenClassrooms | Data Scientist | Projet 7)

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ramisa2108/Taxi-Demand-Forecasting-System

A machine learning based forecasting system for taxi demand prediction

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prohogiy90/ds-model-of-the-behavior-of-the-SberAvtopodpiska-customers

This repository contain my final projekt on the Data science Skillbox school on the topic: "Development of a machine learning algorithm to predict the behavior of customers of the "SberAvtopodpiska"

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cconsta1/SexEst_Notebooks

Example notebooks to produce the models used in the SexEst web application.

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rprkh/Music-Genre-Recommender

Music Genre Recommender website that can identify and recommend 10 different genres of music using Light Gradient Boosting Machine (LGBM). An accuracy of 90% was achieved on the test set by tuning the hyperparameters of the model with Optuna.

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Godson199/Ecological-Footprint-Predictor

In this project, I worked on a classification problem using an imbalanced dataset which predicts ecological footprints. The aim of the project was not necessarily to build a classification model but to investigate the different methods of correcting an imbalanced dataset in order not to build a biased classifier

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Related Keywords

lgbmclassifier 58 machine-learning 25 python 20 xgboost-classifier 13 pandas 13 logistic-regression 12 xgboost 11 matplotlib 10 numpy 10 random-forest-classifier 9 classification 9 data-science 9 exploratory-data-analysis 9 seaborn 7 sklearn 7 decision-tree-classifier 6 catboost-classifier 5 feature-engineering 5 scikit-learn 5 python3 5 random-forest 5 gradient-boosting 4 linear-regression 4 optuna 4 svm-classifier 4 randomforestclassifier 4 eda 3 shap 3 catboost 3 nltk 3 nlp-machine-learning 3 streamlit 3 pytorch 3 jupyter-notebook 3 kaggle 3 lgbm 3 spacy 3 voting-classifier 3 mlp-classifier 2 gradient-boosting-classifier 2 classification-algorithm 2 svm 2 bayesian-optimization 2 pipeline 2 pycaret 2 tf-idf 2 data-visualization 2 extratreesclassifier 2 logisticregression 2 imbalanced-data 2 deep-learning 2 csv 2 flask-api 2 dummyclassifier 2 confusion-matrix 2 time-series 2 keras 2 artificial-intelligence 2 data-preprocessing 2 scipy 2 kaggle-competition 2 preprocessing 2 prediction 2 tqdm 2 machinelearning 2 boosting-algorithms 2 countvectorizer 2 machine-learning-algorithms 2 bert-model 2 tfidf-vectorizer 2 classification-model 2 hyperparameter-tuning 2 joblib 2 f1-score 2 nltk-python 2 smote 2 bert 1 stacking-classifier 1 xgboost-algorithm 1 pretraining 1 attention-gru 1 pretrain 1 fine-tuning 1 domain-adaptation 1 bidirectional-gru 1 comp90051 1 randomsearchcv 1 twitter 1 data 1 postprocessing 1 binning 1 feature-aggregation 1 hypothesis 1 outlier-removal 1 adaboost-classifier 1 cat-boost-algorithm 1 knn-classifier 1 roc-auc-curve 1 spacy-nlp 1 adaboost 1