Author: Shengxuan Wang
From: Oregon State University
Building Machine Learning model from Scratch, without using any ML package. Only use data processing package, e.g. Pandas and Numpy, and a package I made: Popanda (see the detail here: https://github.com/shawn120/Popanda_Enhance_of_Pandas) Then using some data set to test them.
Models include Linear Regression, Logistic Regression, Perceptron, and Decision Tree.
Model Serving Made Easy BentoML is a flexible, high-performance framework for serving, managing, and deploying machine learning models. Supports multi
Currently a Beta-Version lucidmode is an open-source, low-code and lightweight Python framework for transparent and interpretable machine learning mod
pyGAM Generalized Additive Models in Python. Documentation Official pyGAM Documentation: Read the Docs Building interpretable models with Generalized
Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a
Project Guiding Star: the Backend A flexible CTF contest platform for coming PKU GeekGame events Still in early development Highlights Not configurabl
Generator of Rad Names from Decent Paper Acronyms
probability-density-function General info An application that calculates the probability density and cumulative distribution of a normal distribution
Intro-to-Data-Science Conducted ANOVA and Logistic regression analysis. Project ANOVA The main aim of this project is to perform One-Way ANOVA analysi
pandas-method-chaining pandas-method-chaining is a plugin for flake8 that provides method chaining linting for pandas code. It is a fork from pandas-v
SGD-Linear-Regressor Iterative stochastic gradient descent (SGD) linear regressor with regularization Dataset: Kaggle “Graduate Admission 2” https://w
reggy Regressions with arbitrarily complex regularization terms. Currently suppo
numdifftools The numdifftools library is a suite of tools written in _Python to solve automatic numerical differentiation problems in one or more vari
Open Source MLOps This is the Fuzzy Labs guide to the universe of free and open source MLOps tools. Contents What is MLOps, anyway? Data version contr
Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about Machine Learning
Description FairScale is a PyTorch extension library for high performance and large scale training on one or multiple machines/nodes. This library ext
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art
Karate Club is an unsupervised machine learning extension library for NetworkX. Please look at the Documentation, relevant Paper, Promo Video, and Ext
This project has Classification and Clustering done Via kNN and K-Means respectfully. It later tests its efficiency via F1/accuracy/recall/precision for kNN and Davies-Bouldin Index for Clustering. T
1° Challenge de Dados - Alura A Alura Voz é uma empresa de telecomunicação que nos contratou para atuar como cientistas de dados na equipe de vendas.
4.4k Jan 04, 2023
15 Aug 12, 2022
747 Jan 05, 2023
14.5k Jan 07, 2023
14 Dec 15, 2022
264 Nov 08, 2022
1 Oct 25, 2022
1 Feb 06, 2022
5 May 14, 2022
1 Oct 29, 2021
1 Jan 20, 2022
181 Dec 16, 2022
352 Dec 29, 2022
2k Dec 28, 2022
42 Dec 23, 2022
3.3k Jan 04, 2023
1.8k Jan 03, 2023
0 Jan 20, 2022
16 Nov 10, 2022