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gitlab.com topics: random forest

stephematician/literanger

A C++ implementation of random forests for fast prediction

Last synced at: about 1 month ago - Stars: 0 - Forks: 0

mrHalho/module33

project for module 33.Airflow in the course "Basic Data Science" at Skillbox.

Last synced at: about 2 years ago - Stars: 0 - Forks: 1

FaresHerhar/eco-clients

A Classification model, to detect ecologically responsible clients, using Machine Learning Algorithms (Random Forest, k-Nearest Neighbors)

Last synced at: over 2 years ago - Stars: 0 - Forks: 0

SLO_1024/scikit-learn-crypto_prediction

Last synced at: over 2 years ago - Stars: 0 - Forks: 0

dfo-msea/environmental-layers/random-forest-substrate

Generates a model predicting substrate class (rock, mixed, sand, or mud) using random forest and a stack of environmental predictors. Model is tested against withheld testing observations. Model can be run using a 1-step or 2-step approach. The 2-step approach generates a binary rock/not-rock layer and a mixed/sand/mud layer and the two are combined. This approach was created to reduce the prevalence of predicted rock in the output raster. Substrate index layers (densities per class) can also be produced.

Last synced at: almost 2 years ago - Stars: 0 - Forks: 0

akashbangalkar/diabetes-prediction

Machine Learning - Binary Classification

Last synced at: over 2 years ago - Stars: 1 - Forks: 0

akashbangalkar/bbc-news-classification

Machine Learning - Multiclass Classification

Last synced at: over 2 years ago - Stars: 0 - Forks: 0

akashbangalkar/cancer_diagnosis

Machine Learning - Multiclass Classification

Last synced at: over 2 years ago - Stars: 0 - Forks: 0

akashbangalkar/facebook_friend_recommendation

Machine Learning - Classification Problem

Last synced at: 9 months ago - Stars: 0 - Forks: 0

akashbangalkar/microsoft_malware_detection

Machine Learning - Multiclass Classification

Last synced at: over 2 years ago - Stars: 0 - Forks: 0

akashbangalkar/taxi_demand_prediction

Machine Learning - Regression Problem

Last synced at: over 2 years ago - Stars: 0 - Forks: 0

lorenzopalloni/eenn-project

Entity Embeddings of categorical variables implementation in TensorFlow 2.0, with a comparison in prediction performances on a Kaggle dataset, against One Hot Encoding using a Random Forest.

Last synced at: about 1 year ago - Stars: 0 - Forks: 0

ashomah/King-County-House-Sales

King County House Sales

Last synced at: over 2 years ago - Stars: 0 - Forks: 0

cassianojaeger/Random-Forests

Last synced at: over 2 years ago - Stars: 0 - Forks: 0

Related Keywords
random forest 14 machine learning 8 classification 5 xgboost 5 python 3 logistic regression 3 k-NN. k-Nearest Neighbors 3 ML 2 svc 2 sklearn 2 linear regression 2 Confusion Matrix 2 naive bayes 2 exploratory data analysis 2 data visualization 2 R 2 regression 1 segmentation 1 clustering 1 pixel intensity 1 malware detection 1 clasification 1 link prediction 1 feature engineering 1 facebook friend recommendation 1 facebook 1 taxi demand prediction 1 time binning 1 time series 1 Categorical 1 Entity Embeddings 1 deep learning 1 representation learning 1 dbscan 1 house price prediction 1 lasso 1 lasso regression 1 recursive feature elimination 1 rfe 1 shiny 1 AI 1 C++ Library 1 airflow 1 csv 1 data science 1 dataset 1 docker 1 git bash 1 neural network 1 pandas 1 pipeline 1 pycharm 1 Machine Learning (Classification Model) 1 knn classification 1 api 1 scikit-learn 1 substrate 1 diabetes 1 bag of words 1 data preprocessing 1 pretty table 1 cancer diagnosis 1 linear svm 1 maximum voting classifier 1 stacking model 1 text data preprocessing 1 f1 score 1