524 Open source projects that are alternatives of or similar to nyc-2019-scikit-sprint

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

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Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

Code, Notebooks and Examples from Practical Business Python

Compilation of R and Python programming codes on the Data Professor YouTube channel.

All the slides, accompanying code and exercises all stored in this repo. 🎈

My textbook for teaching Machine Learning

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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.

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

The Gretel Python Client allows you to interact with the Gretel REST API.

Predict materials properties using only the composition information!

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

Download EEO-1 reports from Silicon Valley tech companies. Compiled by Reveal from The Center for Investigative Reporting

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

A module for allowing the use of multiple metric functions in scikit's cross_val_score

Companion code for Introduction to Python for Data Science: Coding the Naive Bayes Algorithm evening workshop

🕺 Give me data and I will structure it! 🔥

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).

A curated Diversity-Index of grants, scholarships and FA that encourages diversity in STEM fields aimed at half the world's population, Women!

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

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.

My GitHub blog: things you might be interested, and probably not...

Automatic machine learning for tabular data. ⚡🔥⚡

Alternative firmware for Eachine PRO58

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

A library for creating and curating reproducible pipelines for scientific and industrial machine learning

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This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

I am sharing my Journey of 66DaysofData in Natural Language Processing.

simple Echo State Networks integrated with scikit-learn

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

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

Materials for my my R data workshop. https://cengel.github.io/R-data-wrangling/

Primrose modeling framework for simple production models

Python for chemoinformatics

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

A Python package for fitting Quinlan's Cubist regression model

Polyaxon Core Client & CLI to streamline MLOps

Machine Learning for Spot Prices

A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.

Pledge your respect and appreciation for contributors of all kinds to your open source project.

Pedestrian Detection using Non Maximum Suppression

<Do it! 딥러닝 입문> 도서의 주피터 노트북

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

機器學習: Python

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…

ScalaTIKZ is an open-source library for PGF/TIKZ vector graphics.

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Algorithmic trading using machine learning.

No description or website provided.

Start a data science project with modern tools

Aircraft engine failure prediction model

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

Lecture content for Intro to Data Science 2018