150 Open source projects that are alternatives of or similar to analytics-platform-ops

Powerful product analytics for data teams, with full control over data & models.

Repository for the course on Udemy - Python for Data Science and Machine Learning Bootcamp , Jose Portilla

A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)

MLOps Case Study

No description or website provided.

GitOps for Teams (experimental hard fork of atlantis)

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

KNIME Analytics Platform & SDK with Docker Container in X11 desktop

Flask-AppBuilder SecurityManager for OpenIDConnect

Repo of my blogpost articles codes

Complied Resources for learning Machine Learning & Data Science

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.

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

Lecture content for Intro to Data Science 2018

Kubernetes Elastic agent plugin for GoCD

File processing pipelines

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.

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

The Fuzzy Labs guide to the universe of open source MLOps

단국대 SW중심대학 2020년도 오픈소스SW설계 - 캐글뽀개기 수업 일정 및 강의자료

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

Population assignment analysis using R

Dynamic Programming implemented in Rcpp. Includes example partition and out of sample fitting applications.

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

Some of the projects i made when starting to learn R for Data Science at the university

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"

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!

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

Get fine-grained Kubernetes + Infrastructure on AWS in 30 mins 🚀

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

Start a data science project with modern tools

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

Running Presto on k8s

yet another custom data science template via cookiecutter

R package of colour palettes based on Metallica studio album covers.

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

Data visualization tool for wikis evolution

Snorkel - Bootstrap your Data Science

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Analyse academic and non-academic information of students and predict grades

Comet-For-MLFlow Extension

Classifica nomes por gênero de acordo com API do IBGE

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

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.

YT metadata exporter

A guide to getting started with Data Science and ML.

Analytics Platform Shiny Server

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

Vectorized Machine Learning in Python 🐍 From Scratch

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

The Entire Transcript from the Office in Tidy Format

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

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.

Age classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum

Primrose modeling framework for simple production models

A python toolkit to create Visualizations (Vis) using natural language (NL) or add an NL interface to existing Vis.

Track changes in data with ease

Data science investigations into the mechanics of the world's greatest role playing game

NYC WiMLDS scikit-learn open source sprint (Aug 24, 2019)

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