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Topic: "light-gradient-boosting-machine"

xxl4tomxu98/autoencoder-feature-extraction

Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models

Language: Jupyter Notebook - Size: 90.1 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 1

JNoel71/NHL-Expected-Goals-xG-Model

An NHL expected goals (xG) model built with light gradient boosting.

Language: Python - Size: 160 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

PermanAtayev/Movie-revenue-prediction

Model that uses 10 different algorithms to predict the revenue of a movie before it's release

Language: Jupyter Notebook - Size: 2.36 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

LinggarM/Ensemble-Learning-Comparison-on-Diabetes-Classification

Comparison of ensemble learning methods on diabetes disease classification with various datasets

Language: Jupyter Notebook - Size: 5.8 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

sujeethshetty/hackathon-projects

Project work related to various hackathons

Language: Jupyter Notebook - Size: 4.13 MB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Riciokzz/Spaceship-Titanic

Spaceship Titanic project.

Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

msikorski93/Credit-Card-Fraud-Detection

A binary classification task performed with machine learning in Python. The dataset's target distribution is heavily imbalanced. The model performance was evaluated with F1 scores.

Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Azie88/Machine-Learning-Classification-Review

How to do a simple end-to-end machine learning classification project using the telco churn dataset

Language: Jupyter Notebook - Size: 214 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Arinjay11020/Capstone-Speech-Sentiment-Analysis

A model build on RAVDESS dataset, for speech emotion recognition. 85.59% validation accuracy

Language: Jupyter Notebook - Size: 1.98 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

Related Topics
machine-learning 4 random-forest-classifier 3 logistic-regression 2 xgboost-classifier 2 stacking-ensemble 2 random-forest 2 extra-trees-classifier 2 xgboost 2 google-cloud 1 google-cloud-compute 1 hackathon 1 lasso-regression 1 lightgbm 1 odsc-east-2020 1 tensorflow2 1 xgboost-model 1 spaceship-titanic 1 ensemble-model 1 elasticnetregression 1 telcom-churn 1 classification-models 1 tensorflow 1 smote-enn 1 resampling-methods 1 random-undersampling 1 random-oversampling 1 near-miss 1 knearest-neighbors 1 hyperparameter-tuning 1 gradient-boosting-classifier 1 docker 1 data-science 1 data-cleaning 1 automl 1 stacking 1 python 1 gradient-boosting 1 extreme-gradient-boosting 1 ensemble-methods 1 ensemble-machine-learning 1 ensemble-learning 1 diabetes-prediction 1 cat-boost 1 boosting-ensemble 1 boosting 1 bagging-ensemble 1 bagging 1 adaboost 1 naive-bayes 1 histgram-gradient-boosting 1 gradient-boosting-machine 1 convolutional-autoencoder 1 autoencoderscompression 1 autoencoder-neural-network 1 autoencoder-latent-layer 1 autoencoder-denoising 1 autoencoder-classification 1 voting-classifier 1 speech-emotion-recognition 1 capstone-project 1 audio-processing 1 support-vector-regression 1 ridgeregression 1 polynomial-regression 1 movie-revenue-prediction 1 linear-regression 1 elasticnet 1 catboostregressor 1 artificial-neural-networks 1 k-nearest-neighbors 1 k-means 1 f1-score 1 credit-card-fraud 1 class-imbalance-handling 1 binary-classification 1 balanced-bagging 1 adasyn 1 sports-analytics 1 sports 1 nhl-data 1 nhl-analytics 1 nhl 1 hockey-data 1 hockey-analytics 1 hockey 1 expected-goals 1 classification 1 variational-autoencoders 1 sequence-to-sequence 1