Heart_Disease by ShivamChoudhary17

Machine Learning

created at Oct. 9, 2020, 1:43 p.m.

Jupyter Notebook

1 +0

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GitHub
Flight_Fare_Prediction by ShivamChoudhary17

Flight_Fare_Prediction

created at Sept. 28, 2020, 1:35 a.m.

Jupyter Notebook

1 +0

1 +0

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GitHub
Machine_learning by Shanky-21

You can Learn Basic Machine learning Techniques from here

created at Oct. 1, 2020, 9 a.m.

Jupyter Notebook

2 +0

23 +0

3 +0

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minigrad by kennysong

A minimal implementation of autograd (in pure Python) 🍰

created at April 23, 2020, 9 a.m.

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3 +0

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5 +0

GitHub
Data_visualization by Shanky-21

None

created at Aug. 8, 2020, 6:16 p.m.

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4 +0

35 +0

8 +0

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BigDataAnalytics_INFOH515 by Yannael

Material for the Big Data Analytics exercise classes - INFOH515 - Big Data : Distributed Data Management and Scalable Analytics - Université Libre de Bruxelles

created at April 12, 2018, 7:57 a.m.

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5 +0

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GitHub
ROCAnalysis.jl by davidavdav

Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers

created at March 13, 2014, 8:23 a.m.

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5 +0

30 +0

10 +0

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eurybia by MAIF

⚓ Eurybia monitors model drift over time and securizes model deployment with data validation

created at May 2, 2022, 1:36 p.m.

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6 +0

203 +0

23 +0

GitHub
hdbscan by lmcinnes

A high performance implementation of HDBSCAN clustering. http://hdbscan.readthedocs.io/en/latest/

created at Aug. 31, 2016, 12:42 p.m.

Jupyter Notebook

9 +0

92 +0

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GitHub
open-metric-learning by OML-Team

Library for metric learning pipelines and models.

created at June 4, 2022, 1:12 p.m.

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11 +0

762 +2

51 +2

GitHub
comet-examples by comet-ml

Examples of Machine Learning code using Comet.ml

created at Nov. 21, 2018, 6 p.m.

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11 +0

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GitHub
breze by breze-no-salt

Breze with all the stuff.

created at Aug. 30, 2013, 7:25 a.m.

Jupyter Notebook

12 +0

97 +0

44 +0

GitHub
GaussianProcesses.jl by STOR-i

A Julia package for Gaussian Processes

created at April 30, 2015, 2:46 p.m.

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14 +0

305 +1

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the-elements-of-statistical-learning by maitbayev

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

created at April 18, 2018, 7:51 p.m.

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19 +0

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GitHub
rosetta by columbia-applied-data-science

Tools, wrappers, etc... for data science with a concentration on text processing

created at Nov. 3, 2013, 4:13 p.m.

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22 +0

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GitHub
SOMPY by sevamoo

A Python Library for Self Organizing Map (SOM)

created at Aug. 24, 2014, 12:06 p.m.

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33 +0

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sklearn-bayes by AmazaspShumik

Python package for Bayesian Machine Learning with scikit-learn API

created at July 30, 2015, 3:15 a.m.

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34 +0

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GitHub
computer-vision-in-action by Charmve

A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练:算法与应用》中文电子书、源码、读者交流社区(持续更新中 ...) 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

created at April 29, 2021, 3:08 a.m.

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36 +0

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shapash by MAIF

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

created at April 29, 2020, 7:34 a.m.

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37 +0

2,644 +4

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presentations by JuliaCon

Presentations for JuliaCon

created at June 19, 2014, 3:13 p.m.

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GitHub