用python和sklearn两种方法实现李航《统计学习方法》中的算法
☆339Jul 3, 2018Updated 8 years ago
Alternatives and similar repositories for lihang_algorithms
Users that are interested in lihang_algorithms are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 使用sklearn做特征工程☆177Jul 19, 2018Updated 7 years ago
- 一些个人学习笔记☆60Apr 6, 2021Updated 5 years ago
- 致力于将李航博士《统计学习方法》一书中所有算法实现一遍☆5,825Apr 29, 2019Updated 7 years ago
- 《统计学习方法》笔记-基于Python算法实现☆2,167Jan 9, 2018Updated 8 years ago
- 李航《统计学习方法》笔记和 Python 实现(不基于任何代数运算库)。☆59Nov 4, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Elements of Financial Risk Management in Python☆12Jan 10, 2021Updated 5 years ago
- Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]☆6,300Aug 5, 2023Updated 2 years ago
- ☆10Apr 8, 2018Updated 8 years ago
- ☆14Jan 28, 2021Updated 5 years ago
- Feng Li's Python Course for Statisticians and Economists☆14Jun 16, 2024Updated 2 years ago
- 整理的一些书籍和源码,集合到一起,要看或者有需要的时候就不用再找了🙃☆18Jun 7, 2019Updated 7 years ago
- 《统计学习方法》的代码实现☆19,594Aug 22, 2023Updated 2 years ago
- 李航《统计学习方法》中机器学习模型的LaTeX公式笔记☆163Feb 5, 2019Updated 7 years ago
- python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification ar…☆736Jun 15, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- “2020创青春·交子杯” 挑战赛 AI算法赛道 TOP1方案☆48Sep 1, 2020Updated 5 years ago
- ASE framework for Monte Carlo simulations with machine learned interatomic potentials☆27Jul 3, 2026Updated last week
- 《机器学习实战》一书中的代码,用python3重写,未完待续。☆22Oct 2, 2018Updated 7 years ago
- Kaggle TalkingData AdTracking Fraud Detection Challenge 48th solution☆11May 18, 2018Updated 8 years ago
- 机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现☆68Sep 1, 2022Updated 3 years ago
- Top6 solution for HUAWEI-DIGIX-Age-prediciton 华为极客精英挑战赛☆13Aug 28, 2019Updated 6 years ago
- 研究一下大数据支撑下的股票科学☆12Oct 12, 2015Updated 10 years ago
- A C compiler with SSA-based backend optimzation☆15Mar 19, 2016Updated 10 years ago
- 根据关键词爬取微博内容并进行情感分析☆16Mar 18, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Python实现经典分类回归、关联分析、聚类以及推荐算法等☆212Feb 22, 2019Updated 7 years ago
- NSGA-III: Non-dominated Sorting Genetic Algorithm, the Third Version — MATLAB Implementation☆38Dec 11, 2020Updated 5 years ago
- 采用Python实现各种机器学习算法,基于机器学习实战、西瓜书、统计学习方法等☆13Jan 25, 2019Updated 7 years ago
- 好玩儿的Python:从数据挖掘到深度学习☆62Feb 6, 2020Updated 6 years ago
- My blogs and code for machine learning. http://cnblogs.com/pinard☆8,703Feb 16, 2024Updated 2 years ago
- 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!☆7,747Feb 26, 2022Updated 4 years ago
- 通过阅读网上的资料代码,进行自我加工,努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯☆734Oct 22, 2019Updated 6 years ago
- A C compiler written in Kotlin☆19Jun 22, 2024Updated 2 years ago
- key Deep Learning engineering tricks in recsys☆807Oct 5, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 常用线性代数算法的python实现。包括lu、svd、qr、diagonalization、inv、pinv、lstsq、solve Ax、solve nullspace☆24Jan 27, 2022Updated 4 years ago
- In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction s…☆31Oct 26, 2025Updated 8 months ago
- 数值计算Python实现 (三次样条、拉格朗日插值、龙贝格积分法、线性方程组迭代法等)☆16Aug 26, 2018Updated 7 years ago
- ☆40Jun 27, 2018Updated 8 years ago
- Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"☆16Nov 10, 2019Updated 6 years ago
- 手摸手 美团 YOLOv6模型训练和TensorRT端到端部署方案教程☆34Jun 30, 2022Updated 4 years ago
- 2019 农业银行雅典娜杯数据挖掘大赛高校 Top2 Solution☆50Jan 12, 2020Updated 6 years ago