lightgbm-classifier

There are 2 repositories under lightgbm-classifier topic.

rafaelgreca / e2e-mlops-project
The purpose of this project's design, development, and structure is to create an end-to-end Machine Learning Operations (MLOps) lifecycle to classify an individual's level of obesity based on their physical characteristics and eating habits.
continuous-delivery continuous-integration end-to-end evidentlyai fastapi lightgbm-classifier loguru machine-learning mlops multiclass-classification obesity-classification pydantic python tabular-data
Language:HTML 59
Davisy / Financial-Inclusion-in-Africa-App
A Data science app to predict who in Africa is most likely to have a bank account?
africa financial-analysis financial-data lightgbm-classifier machine-learning sklearn streamlit
Language:Jupyter Notebook 11
deepeshdm / CropFusionAI
Helping Farmers make informed decisions with Machine Learning ! 👩‍🌾🚜
crop-recommendation fertilizer-recommendation lightgbm lightgbm-classifier machine-learning reactjs fastapi agricultural farming python 3d-models threejs
Language:JavaScript 10
edaaydinea / OP1-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease
This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).
alzheimer-disease-prediction anova-test catboost-classifier chi-square-test data-science deep-neural-networks keras-neural-networks lightgbm-classifier logistic-regression machine-learning multi-layer-perceptron-classifier neural-networks random-forest-classifier tensorflow xgboost-classifier
Language:Jupyter Notebook 10
edaaydinea / OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data
This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.
anova-analysis catboost-classifier chi-square-test data-science deep-learning keras-neural-networks lightgbm-classifier logistic-regression machine-learning multi-layer-perceptron-classifier neural-networks random-forest-classifier smote-oversampler tensorflow xgboost-classifier
Language:Jupyter Notebook 10
tanishq-ctrl / House-price-prediction-and-visualization
This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.
catboost catboost-classifier catboostregressor dataanlaytics datavisualization-project housepriceprediction lightgbm lightgbm-classifier lightgbm-regressor machinelearningalgorithms r2score rmse-score xgboost xgboost-algorithm xgboost-classifier
Language:Jupyter Notebook 9
Transformer-BERT-SMS-Spam-Detection
Tejas-TA / Transformer-BERT-SMS-Spam-Detection
Spam SMS Detection Project implemented using NLP & Transformers. DistilBERT - a hugging face Transformer model for text classification is used to fine-tune to best suit data to achieve the best results. Multinomial Naive Bayes achieved an F1 score of 0.94, the model was deployed on the Flask server. Application deployed in Google Cloud Platform
attention-is-all-you-need bag-of-words bert-model confusion-matrix flask-api huggingface-transformers joblib lemmatization lightgbm-classifier machine-learning matplotlib multinomial-naive-bayes natural-language-processing nlp-machine-learning roc-auc-curve scikitlearn-machine-learning spam-sms-detection stemming tensorflow2 tfidf-vectorizer
Language:Jupyter Notebook 9
yakupkaplan / Home-Credit-Default-Risk
In this project we try to predict home credit default risk for clients. We try to predict, if the client will have payment difficulties or not.
credit-risk classification-model exploratory-data-analysis feature-engineering data-mining datapreprocessing lightgbm-classifier
Language:Python 7
grknc / Customer-Churn-Analyzer-with-ML
Telco Churn Analysis and Modeling is a comprehensive project focused on understanding and predicting customer churn in the telecommunications industry. Utilizing advanced data analysis and machine learning techniques, this project aims to provide insights into customer behavior and help develop effective strategies for customer
customer-churn customer-churn-prediction customer-churn-prediction-with-machine-learning lightgbm-classifier prediction predictive-modeling random-forest-classifier xgboost xgboost-classifier
Language:Jupyter Notebook 6
AbhishekGit-hash / Credit-Card-Lead-Prediction
A machine learning model to predict whether a customer will be interested to take up a credit card, based on the customer details and its relationship with the bank.
python machine-learning lightgbm-classifier xgboost-classifier stacking-ensemble hyperparameter-tuning
Language:Jupyter Notebook 5
AnFrBo / coupon_optimization
Maximizing Revenue with Individualized Coupon Optimization Using Tree-Based Models
tsne-algorithm negative-sampling lightgbm-classifier xgboost heuristic-methods individualized-coupons hyperparameter-tuning
Language:Jupyter Notebook 5
nalron / project_credit_scoring_model
Développer un modèle de scoring de la probabilité de défaut de paiement du client pour étayer la décision d'accorder ou non un prêt à un client potentiel.
dashboard scoring-models banking-applications lightgbm-classifier hyperopt rfecv heroku-deployment python nalron-beta
Language:Jupyter Notebook 5
NamrataThakur / Airbnb-New-User-Prediction
The problem that this case study is dealing with predicts the location that a user is most likely to book for the first time. The accurate prediction helps to decrease the average time required to book by sharing more personalized recommendations and also in better forecasting of the demand. We use the browser’s session data as well as the user’s demographic information that is provided to us to create features that help in solving the problem.
airbnb deployment eda flask-api kaggle-competition lightgbm-classifier machine-learning multiclass-classification random-forest xgboost-algorithm
Language:Jupyter Notebook 5
Pradnya1208 / Credit-card-fraud-detection-using-ensemble-learning-predictive-models
The Aim of this project is used to identify whether a new transaction is fraudulent or not.
credit-card-fraud classification-algorithm ensemble-learning xgboost-algorithm lightgbm-classifier randomforestclassifier feature-importance
Language:Jupyter Notebook 5
abhilash1910 / NLP-Workshop-ML-India
NLP Workshop -ML India
albert bart bert cnn-keras distilbert gpt-2 huggingface keras-tensorflow lightgbm-classifier lstm-neural-networks nlp-machine-learning roberta statistical-models transfer-learning transformer xgboost-algorithm xlm-roberta
Language:Jupyter Notebook 4
kashish45 / Machine-Learning-Projects
classification cnn-keras competition competitions deep-learning dockship hackerearth kaggle lightgbm-classifier lightgbm-regressor machine-learning machine-learning-algorithms natural-language-processing regression
Language:Jupyter Notebook 4
bhuvansun / bicycle-rental-ml-model
Machine Learning Model for predicting the estimated amount for renting a bicycle as a function of various parameters like the day of the week, wind speed, temperature, etc.
azure lightgbm-classifier machine-learning random-forest
Language:Python 3
darenr / optuna-lgb
Example using Optuna to tune hyper parameters for LightGBM
hyperparameter-optimization hyperparameter-tuning lightgbm-classifier lightgbm
Language:Python 3
deepeshdm / CropFusionAI-Backend
FastAPI backend for CropFusionAI
python farming fastapi lightgbm-classifier machine-learning rest-api crop-recommendation deep-learning fertilizer-recommendation
Language:Jupyter Notebook 3
fahadgorain / Bayesian-Hyper-Parameter-Optimization-for-Malware-Detection-Extended
Selected Paper from the AI-CyberSec 2021 Workshop in the 41st SGAI International Conference on Artificial Intelligence (MDPI Journal Electronics)
python gridsearchcv hyperparameter-optimization hyperparameter-search hyperparameter-tuning knn-classification lightgbm-classifier logistic-regression machine-learning-algorithms malware-detection random-forest-classifier randomsearchcv stochastic-gradient-descent ahbo-tpe baysian-optimisation
Language:Jupyter Notebook 3
hanaecarrie / CS5228_kaggle_income50K_classification
CS5228 Kaggle Inclass Competition: Predicting if Income > 50K
binary-classification catboost extra-trees-classifier feature-engineering hyperparameter-search knn-classifier lightgbm-classifier machinelearning mlp-classifier random-forest-classifier xgboost-classifier
Language:Jupyter Notebook 3
Navneet2409 / credit-card-default-prediction
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.
adaboost-classifier data-analysis data-science decision-tree-classifier feature-engineering knn-classifier lightgbm-classifier logistic-regression machine-learning-algorithms python random-forest-classifier xgboost-classifier
Language:Jupyter Notebook 3
onurboyar / AnomalyDetection
Anomaly Detection with Multiple Techniques using KDDCUP'99 Dataset
kddcup xgboost isolation-forest autoencoders outlier-detection lightgbm-classifier anomaly-detection machine-learning catboost bayesian-optimization
Language:Jupyter Notebook 3
rahulgaikwad2010 / facial-expression-recognition-deep-learning
The goal of this project is to predict the expression on the face. The expression labels are standard ones used in psychology research: angry, disgusted, fearful, happy, sad, surprised, neutral.
deep-learning machine-learning kaggle-dataset naural-network numpy lightgbm-classifier xgboost
Language:Jupyter Notebook 3
chrisliatas / dsnd-customer-segmentation
Udacity DSND capstone project on the Bertelsmann-Arvato challenge on customer segmentation report and supervised learning model.
segmentation lightgbm-classifier kmeans-clustering auc-roc-curve machine-learning python
Language:HTML 2
datalopes1 / bank_marketing_success
Projeto de Machine Learning baseado no Dataset Bank Marketing encontrado na UC Irvine - Machine Learning Repository e disponibilizado por S. Moro, R. Laureano e P. Cortez.
classification learning lightgbm lightgbm-classifier machine python
Language:Jupyter Notebook 2
HarshiniAiyyer / Gradient-Boosting-for-Cryptomarkets
Accommodating supervised learning algorithms for the historical prices of the world's favorite cryptocurrency and boosting it through LightGBM.
cryptocurrency bitcoin boosting-algorithms lightgbm-classifier supervised-machine-learning python
Language:Python 2
kyaiooiayk / LightGBM-Notes
Notes, tutorials, code snippets and templates focused on LightGBM for Machine Learning
lightgbm lightgbm-classifier lightgbm-regressor
Language:Jupyter Notebook 2
lelliott-geo / Springboard_Capstone_Project2
This repository houses all files related to my second Springboard Capstone: Automated Tagging of Stack Exchange Data Science Posts Using Natural Language Processing.
machine-learning python data-science natural-language-processing doc2vec-model lightgbm-classifier
Language:Jupyter Notebook 2
maede43 / ensemble-learning-lfw
Final Project Of Computational Intelligence - Fall 2021 - LightGBM, RandomForest and StackingClassifier
randomforestclassifier lightgbm-classifier stacking-classifier lfw-dataset vggface
Language:Jupyter Notebook 2
mrcreasey / oc-ds-p7-scoring-dashboard
Conception and deployment of a credit-scoring model, API and interactive dashboard
imbalanced-learn flask-api lightgbm-classifier streamlit supervised-learning
Language:Jupyter Notebook 2
Navneet2409 / cardiovascular-risk-prediction
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.
adaboost-classifier decision-tree-classifier knn-classifier logistic-regression random-forest-classifier svm-classifier xgboost-classifier lightgbm-classifier data-analysis data-science feature-engineering machine-learning python
Language:Jupyter Notebook 2
Ry3nG / SC1015-Project-Smartphone-Sensor-Privacy-Leak
NTU SC1015 SC16 Team 2 Project
classification eda humanactivityrecognition lightgbm-classifier python smartphone
Language:Jupyter Notebook 2
tatigabru / kaggle-plasticc
Photometric light curves classification with machine learning
lightgbm light-curves classifiers kaggle machine-learning time-series plasticc lightgbm-classifier
Language:Python 2
Anja-c1511 / Fraud_Transaction_Detection
Banking fraudulent transaction detection using machine learning models.
lightgbm-classifier machine-learning python random-forest-classifier xgboost-classifier
Language:Jupyter Notebook 1
aysecnkci / ObesityRisk-ML-Modeling
Machine learning project to predict obesity risk levels based on lifestyle and demographic data. This project utilizes advanced algorithms like CatBoost, LightGBM, and more to classify individuals into different obesity categories
catboost-classifier datascience health-analytics lightgbm-classifier machine-learning obesity-prediction python
Language:Jupyter Notebook 1

lightgbm-classifier

rafaelgreca / e2e-mlops-project

Davisy / Financial-Inclusion-in-Africa-App

deepeshdm / CropFusionAI

edaaydinea / OP1-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease

edaaydinea / OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data

tanishq-ctrl / House-price-prediction-and-visualization

Tejas-TA / Transformer-BERT-SMS-Spam-Detection

yakupkaplan / Home-Credit-Default-Risk

grknc / Customer-Churn-Analyzer-with-ML

AbhishekGit-hash / Credit-Card-Lead-Prediction

AnFrBo / coupon_optimization

nalron / project_credit_scoring_model

NamrataThakur / Airbnb-New-User-Prediction

Pradnya1208 / Credit-card-fraud-detection-using-ensemble-learning-predictive-models

abhilash1910 / NLP-Workshop-ML-India

kashish45 / Machine-Learning-Projects

bhuvansun / bicycle-rental-ml-model

darenr / optuna-lgb

deepeshdm / CropFusionAI-Backend

fahadgorain / Bayesian-Hyper-Parameter-Optimization-for-Malware-Detection-Extended

hanaecarrie / CS5228_kaggle_income50K_classification

Navneet2409 / credit-card-default-prediction

onurboyar / AnomalyDetection

rahulgaikwad2010 / facial-expression-recognition-deep-learning

chrisliatas / dsnd-customer-segmentation

datalopes1 / bank_marketing_success

HarshiniAiyyer / Gradient-Boosting-for-Cryptomarkets

kyaiooiayk / LightGBM-Notes

lelliott-geo / Springboard_Capstone_Project2

maede43 / ensemble-learning-lfw

mrcreasey / oc-ds-p7-scoring-dashboard

Navneet2409 / cardiovascular-risk-prediction

Ry3nG / SC1015-Project-Smartphone-Sensor-Privacy-Leak

tatigabru / kaggle-plasticc

Anja-c1511 / Fraud_Transaction_Detection

aysecnkci / ObesityRisk-ML-Modeling