Streamz helps you build pipelines to manage continuous streams of data. It is simple to use in simple cases, but also supports complex pipelines that involve branching, joining, flow control, feedback, back pressure, and so on.
Optionally, Streamz can also work with both Pandas and cuDF dataframes, to provide sensible streaming operations on continuous tabular data.
To learn more about how to use Streamz see documentation at streamz.readthedocs.org.
BSD-3 Clause
本项目复现李航《统计学习方法》每一章节的算法 特点： 笔记摘要：在每个文件开头都会有一些核心的摘要 pythonic：这里会用尽可能规范的方式来实现，包括编程风格几乎严格按照PEP8 循序渐进：前期的算法会更list的方式来做计算，可读性比较强，后期几乎完全为numpy.array的计算，并且辅助详
Multiple-Linear-Regression-master - A python program to implement Multiple Linear Regression using the LinearRegression class from sklearn.linear model library
The code from the Machine Learning Bookcamp book and a free course based on the book
UpliftML is a Python package for scalable unconstrained and constrained uplift modeling from experimental data. To accommodate working with big data, the package uses PySpark and H2O models as base l
Suiron Machine Learning for RC Cars Prediction visualization (green = actual, blue = prediction) Click the video below to see it in action! Dependenci
What is xLearn? xLearn is a high performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machin
To-Be is a machine learning challenge on CodaLab Platform about Mortality Prediction. The challenge aims to adress the problems of medical imbalanced data classification.
📺 ML YouTube Courses At DAIR.AI we ❤️ open education. We are excited to share some of the best and most recent machine learning courses available on
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
Machine Learning Notebooks, 3rd edition This project aims at teaching you the fundamentals of Machine Learning in python. It contains the example code
DistortionML Machine Learning approach for quantifying detector distortion fields. This project is a feasibility study for training a surrogate model
onelearn: Online learning in Python Documentation | Reproduce experiments | onelearn stands for ONE-shot LEARNning. It is a small python package for o
Note: we're lovingly marking this project as Archived since we're no longer supporting it. You are welcome to read the code and fork your own version
House Prices - Advanced Regression Techniques Predicting House Prices with Machine Learning This project is build to enhance my knowledge about machin
PROTEIN-EXPRESSION-ANALYSIS-FOR-DOWN-SYNDROME Down syndrome (DS) is a chromosomal disorder where organisms have an extra chromosome 21, sometimes know
ARM This jupyter notebook project was completed by me and my friend using the dataset from Kaggle. The world Happiness 2017, which ranks 155 countries
Interactive Parallel Computing with IPython ipyparallel is the new home of IPython.parallel. ipyparallel is a Python package and collection of CLI scr
**Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining.** S
The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. I
pandas, scikit-learn and xgboost integration.
58 Oct 22, 2021
1 Feb 06, 2022
5.5k Jan 09, 2023
254 Dec 31, 2022
706 Jan 02, 2023
3k Jan 08, 2023
1 Jan 31, 2022
9.6k Jan 01, 2023
80 Dec 12, 2022
1.6k Jan 05, 2023
1 Nov 05, 2021
15 Nov 06, 2022
1.3k Dec 28, 2022
1 Jan 01, 2022
1 Jan 20, 2022
1 Jan 23, 2022
2.3k Dec 30, 2022
4k Dec 30, 2022
2.4k Jan 02, 2023
299 Dec 30, 2022