Data Science Popular Algorithms
Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Ml_notes | 1,547 | a year ago | 3 | Jupyter Notebook | ||||||
| 机器学习算法的公式推导以及numpy实现 | ||||||||||
| Machine Learning Notes | 130 | 6 years ago | Jupyter Notebook | |||||||
| 机器学习笔记 | ||||||||||
| Machinelearningnote | 114 | 3 years ago | Jupyter Notebook | |||||||
| Data Science Popular Algorithms | 101 | 5 months ago | Jupyter Notebook | |||||||
| Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala. | ||||||||||
| Machinelearningnote | 37 | a year ago | mit | Jupyter Notebook | ||||||
| 用python实现机器学习各种经典算法 | ||||||||||
| Machine Learning Models | 26 | 3 years ago | 2 | mit | Python | |||||
| In This repository I made some simple to complex methods in machine learning. Here I try to build template style code. | ||||||||||
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Python
Jupyter Notebook
Machine Learning
Scala
Data Science
Recommendation System
Xgboost
Decision Trees
Lda
Kmeans