2 रिपॉजिटरी
Awesome GitHub RepositoriesClassification Algorithms
Supervised learning methods for predicting discrete class labels.
Distinguishing note: Focuses on discrete label prediction.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Classification Algorithms. Refine with filters or upvote what's useful.
Awesome Classification Algorithms GitHub Repositories
AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
- jakevdp/pythondatasciencehandbook
jakevdp/PythonDataScienceHandbook
48,561GitHub पर देखेंThis project is an interactive data science environment that combines code execution, rich media visualization, and narrative documentation into a persistent, browser-based platform. It serves as a comprehensive educational resource for scientific computing, providing a framework for iterative data analysis and machine learning prototyping. The environment is distinguished by its focus on high-performance numerical computing, utilizing vectorized array operations and memory-mapped data structures to handle large-scale computations efficiently. It features a unified estimator interface that st
Builds models to predict discrete labels from input data.
Jupyter Notebookjupyter-notebookmatplotlibnumpy - akramz/hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow
Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow
1,041GitHub पर देखेंThis project serves as an educational and practical resource for mastering machine learning workflows using Python. It provides a comprehensive collection of code examples and exercises designed to guide users through the implementation of predictive systems, ranging from fundamental algorithms to deep learning architectures. The repository distinguishes itself by offering a structured approach to both classical machine learning and neural network training. It covers the full lifecycle of model development, including the orchestration of reusable data transformation pipelines, advanced ensemb
Separates data classes by fitting the widest possible boundary between them using support vectors to improve generalization.
Jupyter Notebookartificial-intelligencedeep-learningmachine-learning
