405 Open source projects that are alternatives of or similar to scikit-learn-mooc

Public reusable components for Polyaxon

【人工智能实践：Tensorflow 笔记 | https://www.icourse163.org/course/PKU-1002536002 】的讲义与代码

🤓🔮🔬 Emoji prediction from a text using machine learning

A scikit-learn compatible implementation of hyperband

My Computer Science Curriculum

Deanonymizing Tor or VPN users with website fingerprinting and machine learning.

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

https://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.

Applying machine learning to predict loan charge-offs on LendingClub.com

中国大学MOOC《机器人操作系统入门》课程代码示例

Machine learning in Matlab using scikit-learn syntax

An awesome list of events and fellowship opportunities for Computer Science students

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020

This repository is a recommended track, designed to get started with Machine Learning.

Extracts key terminology (n-grams) from any large collection of documents (>1000) and forecasts emergence

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

⏱ Benchmarks of machine learning inference for Go

Complete Conjugation of any Verb using Machine Learning for French, Spanish, Portuguese, Italian and Romanian

Learning Resources for Those New to Computer Science

Inferring Concept Prerequisite Relations from Online Educational Resources (IAAI-19)

A scikit-learn compatible library for anomaly detection

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

📓 mooc code playground

No description or website provided.

利用Logistic回归实现信用卡欺诈检测

👨‍🎓 中国大学MOOC全课件（视频、文档、附件）下载器

REST API (and possible UI) for Machine Learning workflows

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Pedestrian Detection using Non Maximum Suppression

Tutorial on deploying machine learning models to production

Content Based Music Recommendation Service

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

2019년 민족사관고등학교 졸업 프로젝트

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM W…

Explore machine learning models. Leveraging scikit-learn's models and exposing their behaviour through API

I am taking up the #100DaysOfMLCode Challenge 😎

A complete one stop solution for all the problems of Rural area people. 👩🏻‍🌾

A basic introduction to machine learning (one day training).

This project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of the accuracy of the determined pipeline, with a standard Naive-Bayes classifier. Saving the classifier as an external file, and use this file in a Flask…

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

PipelineAI Kubeflow Distribution

Bay Area WiMLDS scikit-learn open source sprint (Nov 2, 2019)

A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

Repo for All MongoDB University Courses

超星学习通签到Nodejs程序。支持普通签到、拍照签到、手势签到、位置签到、二维码签到，支持自动监测。

The Open EdX mobile app for Android!

Polyaxon Core Client & CLI to streamline MLOps

Online Python Editor With Live Syntax Checking and Execution

No description or website provided.

Contains the online course about Data Science, Machine Learning, Programming Language, Operating System, Mechanial Engineering, Mathematics and Robotics provided by Coursera, Udacity, Linkedin Learning, Udemy and edX.

The Open edX mobile app for Android!

Face/Beauty Rating with both the traditional ML approaches and Convolutional Neural Network Approach

My textbook for teaching Machine Learning

A library to parse and convert PMML models into Scikit-learn estimators.

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Training time estimation for scikit-learn algorithms