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Search results for scikit learn random forest
random-forest
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scikit-learn
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43 search results found
Tpot
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9,516
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Orange3
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4,469
🍊 📊 💡 Orange: Interactive data analysis
Flaml
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3,500
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Machine Learning With Python
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2,980
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Mljar Supervised
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2,867
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Dtreeviz
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2,720
A python library for decision tree visualization and model interpretation.
Emlearn
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327
Machine Learning inference engine for Microcontrollers and Embedded devices
Handson Ml
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277
도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
Linear Tree
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253
A python library to build Model Trees with Linear Models at the leaves.
Cudatree
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183
Building random forests on GPU
Tpot2
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118
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
How To Score 0.8134 In Titanic Kaggle Challenge
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105
Solution of the Titanic Kaggle competition
Eforest
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55
This is the official implementation for the paper 'AutoEncoder by Forest'
Scikit Tree
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51
Scikit-learn compatible decision trees beyond those offered in scikit-learn
Icc 2019 Wc Prediction
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39
Predicting the winner of 2019 cricket world cup using random forest algorithm
Skranger
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37
scikit-learn compatible Python bindings for ranger C++ random forest library
Breast Cancer Scikitlearn
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27
simple tutorial on Machine Learning with Scikitlearn
Trajectory Analysis And Classification In Python Pandas And Scikit Learn
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25
Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.
Disentangled Attribution Curves
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23
Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
Data Mining Project
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20
Recognizing human activity using multiple wearable accelerometer sensors placed at different body positions.
Dlime_experiments
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16
In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
Predicting Baseball Statistics
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14
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn
Skgrf
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14
scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library
Rf4pcc
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12
RF4PCC: Random Forest 4 Point Cloud Classification, 3DOM FBK
Hydromst
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11
Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning
Randomforests
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8
Random Forest Library In Python Compatible with Scikit-Learn
Machinelearning_exercises_python_scikit Learn
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8
Python&機械学習ライブラリ scikit-learn の使い方の練習コード集。機械学習の理論解説付き
Gender Classification
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8
Gender Classification Machine Learning Model using Sk-learn in Python with 97%+ accuracy and deployment
Dynamic_speed_optimization
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7
Modeling ship performance curves to reduce fuel consumption
Data Science
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7
EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)
Cic Ids 2018 Intrusion Detection Classification
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6
Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the CIC IDS 2018 dataset for training Machine Learning network intrusion detection classifier models.
Speakerclassifier
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6
A random forest classifier to predict the age-group and gender of a speaker from voice measurements.
Step Detection Using Machine Learning
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6
Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.
Enron_fraud
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6
Build a model to predict employees involved in Enron fraud case based on email & financial data set. Use feature selection & engineering, algorithm selection, & model selection based on F1 score, precision, & recall.
Healthytrees
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6
🌿🗽Analysis of health of NYC trees with GIS, logistic regression & random forest 🏙 🌳 National Day of Civic Hacking 2016
Woodpecker
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6
A python library used for tree structure interpretation.
Recommended Bets By Email Mlb
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5
An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB) games.
Deep_health
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5
Exploring dataset on medical information on diabetic patients
Bank Marketing
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5
A Data-Driven Approach to Predict the Success of Bank Telemarketing
Data Science Portfolio
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5
Portfolio of data science projects completed by me for self learning.Looking for job opportunity.
Gameratingspredictor
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5
Quantitative Methods for Computer Science exam project. Machine learning algorithm solves multi-class classification problem of video games content rating (without playing it).
Pump It Up Data Mining The Water Table
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5
Predict pump is working or not
Machine Learning Practice
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5
Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.
Example Random Forest Ocr
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5
Example of using the Random Forest algorithm for OCR in Ruby.
Related Searches
Machine Learning Scikit Learn (1,643)
Python Scikit Learn (1,523)
Jupyter Notebook Scikit Learn (1,289)
Machine Learning Random Forest (662)
1-43 of 43 search results
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