⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀
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Feb 5, 2020 - Python
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regression-trees
Here are 15 public repositories matching this topic...
Official repository of RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.
learning-to-rank analysis-framework evaluation-metrics evaluation-framework regression-trees ensemble-models
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Aug 14, 2020 - Python
Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling
python data-science machine-learning scikit-learn machine-learning-algorithms regression feature-extraction classification data-analysis ensemble-learning regression-models hyperparameter-tuning financial-markets classification-algorithm financial-engineering classification-trees regression-trees regression-algorithms classification-model machinelearning-python
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Jun 13, 2019 - Python
An easy-to-use scikit-learn inspired implementation of the Standard Genetic Programming (StdGP) algorithm.
machine-learning genetic-programming classification evolutionary-algorithms regression-models evolutionary-computation binary-classification regression-trees regression-algorithms
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Apr 24, 2025 - Python
[ICML23] Extrapolated Random Tree for Regression
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May 9, 2023 - Python
Regression trees for interval censored output data
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Feb 13, 2020 - Python
This repository is a collection of both basic and advanced code templates for Model Building. All codes I am sharing are from the practical exercises I did from the Data Science Infinity Program.
python machine-learning random-forest linear-regression pca-analysis logistic-regression association-rules regression-models kmeans-clustering classification-algorithm kmeans-algorithm supervised-machine-learning unsupervised-machine-learning regression-trees classification-model kmeans-clustering-algorithm random-forest-regression
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Jul 10, 2021 - Python
Gradient boosted classification and regression trees in python
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Oct 13, 2020 - Python
Dtreehub is a lightweight decision tree framework for Python with categorical feature support. It covers regular decision tree algorithms: ID3, C4.5, CART, CHAID and regression tree, random forest and adaboost.
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Jul 10, 2021 - Python
Exporting trained boosted trees to executable code in plain C / Python
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May 29, 2019 - Python
《机器学习实战》代码和数据。The code and data of Machine Learning in Action.
svm naive-bayes pca recommendation-system logistic-regression image-compression adaboost apriori fp-growth k-means decision-trees svd knn regression-trees machinelearning-python linear-regressions
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Aug 11, 2020 - Python
Fit four different neural networks: (a) Two distinct single hidden layer neural networks. (b) Two distinct neural networks with two hidden layers. Compare the accuracy of these four Neural networks among them. Also compare it to other classification methods.
random-forest naive-bayes neural-networks classification support-vector-machines r-programming lasso-regression regression-trees neuralnet discriminant-analysis
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Nov 29, 2024 - Python
A simple regression tree model to study the interplay between box office, critics and audiences in determining a movie's success.
python machine-learning movies movie-database python3 regression-models regression-trees regression-model
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Feb 17, 2021 - Python
End-to-end, production-style ML project for real estate price prediction and deal scoring — featuring PostgreSQL data ingestion, XGBoost modeling, MLflow tracking, and a Streamlit app for interactive predictions.
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Oct 14, 2025 - Python
An implementation of 4 machine learning algorithms from scratch
machine-learning linear-regression machine-learning-algorithms nearest-neighbor regression-trees gaussian-process-regression
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Jan 21, 2019 - Python
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