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The Top 10 Jupyter Notebook Random Forest Knn Open Source Projects

Open source projects categorized as Jupyter Notebook Random Forest Knn
Categories > Data Processing > Jupyter Notebook
Categories > Knn
Categories > Machine Learning > Random Forest
Pytorch_classification ⭐ 1,055
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特
most recent commit a year ago
Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
most recent commit 2 years ago
Ai_all_resources ⭐ 647
A curated list of Best Artificial Intelligence Resources
most recent commit 6 months ago
Breast Cancer Scikitlearn ⭐ 27
simple tutorial on Machine Learning with Scikitlearn
most recent commit 4 years ago
Machine Learning Techniques ⭐ 20
Repository containing introduction to the main methods and models used in machine learning problems of regression, classification and clustering.
most recent commit 7 months ago
Dlime_experiments ⭐ 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).
most recent commit 3 years ago
Amazon Fine Food Review ⭐ 16
Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
most recent commit 5 years ago
Artificial Intelligence Course Projects S2023 ⭐ 7
AI course projects for problems like searching such as BFS, IDS and A*, genetic algorithms, Minimax tree, Naive bayes for classification, Machine Learning algorithms for anticipating price of houses and a Neural Networks by different approaches(from scratch, pytorch, keras)
most recent commit 6 months ago
Onestep Electron Content ⭐ 6
Content for onestep-electron.github.io
most recent commit 3 years ago
Machine Learning Bootcamp ⭐ 5
A beginner friendly ML course designed by us at Hermes AI Center for everyone with no prior knowledge in computer science concepts.
most recent commit 2 years ago
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