Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
MIT License
Published by shankarpandala about 2 years ago
A constantly updated python machine learning cheatsheet
The ultimate anomaly detection and its analytics.
Python implementation of solvers for differential algebraic equation's (DAE's) that should be add...
Wrappers for the SciPy differential equation solvers for the SciML Scientific Machine Learning or...
Use scipy.optimize.minimize as a PyTorch Optimizer.
Technical and sentiment analysis to predict the stock market with machine learning models based o...
机器学习教程,本教程包含基于numpy、sklearn与tensorflow机器学习,也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。
A Python / Numpy / Scipy port of Prof. Nick Higham's m*lab 'gallery' matrices plus extras
wildboar is a Python module for temporal machine learning
splearn: package for signal processing and machine learning with Python. Contains tutorials on un...
A small collection of lesser-known statistical measures
Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
A trust-region interior-point method for general nonlinear programing problems (GSoC 2017).
Учебные проекты из Яндекс Практикума "Специалист по Data Science+"