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Search results for scikit learn forest

22 search results found

Awesome Python Data Science ⭐ 2,126

Probably the best curated list of data science software in Python.

Scikit Garden ⭐ 242

A garden for scikit-learn compatible trees

Cudatree ⭐ 183

Building random forests on GPU

Speculator ⭐ 90

API for predicting the next Bitcoin and Ethereum with machine learning and technical analysis

Sklearn Pmml Model ⭐ 75

A library to parse and convert PMML models into Scikit-learn estimators.

Iterative Random Forest ⭐ 55

Python implementation of iterative-random-forests

This is the official implementation for the paper 'AutoEncoder by Forest'

Icc 2019 Wc Prediction ⭐ 39

Predicting the winner of 2019 cricket world cup using random forest algorithm

Skranger ⭐ 37

scikit-learn compatible Python bindings for ranger C++ random forest library

Data Mining Project ⭐ 20

Recognizing human activity using multiple wearable accelerometer sensors placed at different body positions.

Scikit Learn ⭐ 14

A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.

Lime Interpretable Ml ⭐ 10

An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learning algorithm - in this case a Radom Forest regressor.

Randomforests ⭐ 8

Random Forest Library In Python Compatible with Scikit-Learn

Data Science ⭐ 7

EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)

Healthytrees ⭐ 6

🌿🗽Analysis of health of NYC trees with GIS, logistic regression & random forest 🏙 🌳 National Day of Civic Hacking 2016

Speakerclassifier ⭐ 6

A random forest classifier to predict the age-group and gender of a speaker from voice measurements.

Decision_boundary_viz ⭐ 6

📈 Interactive decision boundary visualizer

Globally Induced Forest ⭐ 5

Globally Induced Forest

Machine Learning ⭐ 5

Basic ML concepts in Python and R

Example Random Forest Ocr ⭐ 5

Example of using the Random Forest algorithm for OCR in Ruby.

Reddit Flair Detector ⭐ 5

A Reddit Flair Detector using Machine Learning Algorithms

Ml_ingredient_prediction ⭐ 5

This project allows the use of machine learning to predict the ingredients of a recipe. In particular, it has been implemented on a poke recipe in which a series of ingredients (i.e. 8) are passed as input and the software returns 2 missing (for example the topping and the sauce). The model used is Multi Target Forest and Scikit Learn ML library

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