fyc0803 Goto Github PK

100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

bigdata

Hands-On Big Data workshop materials

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

dataviz

Data Visualization Workshop Materials

deephit

DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

handcalcs

Python library for converting Python calculations into rendered latex.

intror

ipdln-2018-hackathon

Repository to accompany a hackathon at IPDLN conference at Banff, Sep 2018

isdevaluation

Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".

lifelines

Survival analysis in Python

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

machinelearning

Basic Machine Learning and Deep Learning

machinelearning_python

机器学习算法python实现

mit-linear-algebra-notes

Notes for MIT-Linear-Algebra

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

mtlr

An R package for Multi-Task Logistic Regression.

mtlsa

A Multi-Task Learning Formulation for Survival Analysis

multi-task_survival_analysis

Multi-task survival analysis via regularized Cox regression

personalizedmultitasklearning

Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).

py4e

Web site for www.py4e.com and source to the Python 3.0 textbook

pycox

Survival analysis with PyTorch

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pysurvival

Open source package for Survival Analysis modeling

python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》