143 Open source projects that are alternatives of or similar to docker-ocaml-jupyter-datascience

This repository contains notes and projects of Data scientist track from dataquest course work.

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

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

No description or website provided.

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

Track changes in data with ease

Primrose modeling framework for simple production models

Docker Environment for data science

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

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

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

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

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

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.

Generation of Synthetic Populations Library

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

The Fuzzy Labs guide to the universe of open source MLOps

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!

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

Lecture content for Intro to Data Science 2018

Snorkel - Bootstrap your Data Science

File processing pipelines

A biggest collection of free books and other resources for R programming

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

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

MLOps Case Study

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

Ops and deployment resources for MOJ Analytics platform

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.

Data Science Squad Roadmap

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

Classifica nomes por gênero de acordo com API do IBGE

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

List of Data Science and Machine Learning Resource that I frequently use

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

yet another custom data science template via cookiecutter

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

📁 Extract, Transform, Load (ETL) 👷 refers to a process in database usage and especially in data warehousing. This repository contains a starter kit featuring ETL related work.

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

Vectorized Machine Learning in Python 🐍 From Scratch

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.

Examples of using Neptune to keep track of your experiments (maintenance only).

Start a data science project with modern tools

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

Running Presto on k8s

The goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalability, monitoring and engineering of the solution.

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

A guide to getting started with Data Science and ML.

Data visualization tool for wikis evolution

Lista de cursos de Data Science en Chile 📈📊🇨🇱

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

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

Comet-For-MLFlow Extension

A handbook for those who want to start coordinating Hacky Hour events in their University/Institute

My presentation at ODSC India 2018 about Deep Learning with Apache Spark

HMAC timing attack's w/ statistical analysis

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

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.

anomaly detection with anomalize and Google Trends data

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