Machine-Learning-for-Streaming-Data-with-Python
Machine learning textbook
A comprehensive guide to building machine learning models for streaming data in Python
Machine Learning for Streaming Data with Python, published by Packt
68 stars
6 watching
32 forks
Language: Jupyter Notebook
last commit: about 1 year ago
Linked from 1 awesome list
online-ml/awesome-online-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
| packtpublishing/mastering-machine-learning-for-penetration-testing | Teaches penetration testing and cybersecurity techniques using machine learning | 358 |
| packtpublishing/hands-on-machine-learning-for-algorithmic-trading | Teaches data analysts and developers to create smart investment strategies using machine learning algorithms | 1,516 |
 gmonce/scikit-learn-book | Source code and data for a machine learning book with Python tutorials | 393 |
 mostafa-samir/how-machine-learning-works | An implementation of Manning Publications' How Machine Learning Works book in Python using Jupyter Notebook | 4 |
 ryuk17/machinelearning | This is a collection of machine learning algorithms implemented in Python 3.6. | 103 |
 ujjwalkarn/datasciencepython | A curated list of tutorials and resources for learning Python for data science, machine learning, and other related topics. | 5,301 |
 dask/dask-ml | A Python library for scalable machine learning using Dask alongside popular ML libraries | 907 |
 scikit-learn/scikit-learn | A comprehensive Python module for machine learning built on top of SciPy | 60,451 |
 amueller/scipy_2015_sklearn_tutorial | Tutorials and materials for learning machine learning with Python using popular libraries like scikit-learn. | 576 |
 sergioburdisso/pyss3 | A Python package implementing an interpretable machine learning model for text classification with visualization tools | 336 |
 scikit-multiflow/scikit-multiflow | A machine learning package for streaming data in Python. | 766 |
 cuttlefishh/python-for-data-analysis | An introduction to data science using Python and Pandas with Jupyter notebooks | 851 |
 phdp/mlbop | The codebase provides MATLAB implementations of machine learning concepts from S. Theodoridis' book | 66 |
 molcik/python-neuron | A Python library for implementing and training various neural network architectures | 40 |
 maitbayev/the-elements-of-statistical-learning | Notes and code implementation of statistical learning concepts from a textbook | 404 |