📁 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.

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scala groovy hive gradle bigdata datascience pig scalding azkaban datamining starter-project etl-framework mapreduce-jobs

datascience-environment

Docker Environment for data science

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Dockerfile environment docker-image datascience

data-science-best-practices

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.

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ruby HTML SCSS devops data-science machine-learning ai analytics best-practices datascience ibm bestpractices mlops

r-resources-for-data-science

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

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data-science data-visualization datascience rstats data-analysis r-language r-programming rprogramming r-stats

HackyHourHandbook

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

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shell university handbook datascience research-tool hackyhour

Anomaly Detection

anomaly detection with anomalize and Google Trends data

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r data-science machine-learning machine-learning-algorithms datascience machinelearning anomalydetection anomaly-detection

analytics-platform-ops

Ops and deployment resources for MOJ Analytics platform

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HCL python shell go javascript Smarty kubernetes analytics terraform datascience kops analytics-platform

nl4dv

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

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python visualization natural-language-processing opensource toolkit natural-language jupyter-notebook data-visualization datascience vega-lite natural-language-interface nl-interface

genero-nomes

Classifica nomes por gênero de acordo com API do IBGE

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python shell brazil opendata datascience data-driven-journalism social-studies

lumberjack

Track changes in data with ease

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r TeX Makefile shell reproducible-research logging datascience daff

dst

yet another custom data science template via cookiecutter

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python template cookiecutter datascience machinelearning deeplearning githubcli deeplearning-ai machinelearning-python machinelearningprojects

awesome-open-mlops

The Fuzzy Labs guide to the universe of open source MLOps

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infrastructure devops machine-learning datascience machinelearning mlops

machine learning from scratch matlab python

Vectorized Machine Learning in Python 🐍 From Scratch

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Jupyter Notebook matlab python machine-learning regression coursera datascience supervised-learning classification unsupervised-learning

d20datascience

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

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Jupyter Notebook machine-learning datascience roleplay role-playing-game roleplaying-game regression-analysis

Bike-Sharing-Demand-Kaggle

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

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r data-science machine-learning random-forest kaggle datascience feature-extraction kaggle-competition decision-trees feature-engineering bikesharing kaggle-scripts kaggle-dataset boxplots log-transformation

snorkel

Snorkel - Bootstrap your Data Science

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shell Batchfile data-science spark starter datascience zeppelin workbench data-science-notebook zeppelin-docker-container zeppelin-notebook data-science-workbench

Data-Science-Resources

A guide to getting started with Data Science and ML.

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data-science machine-learning statistics math numpy pandas datascience data-analysis machinelearning hacktoberfest csi csi-sfit csisfit

RcppDynProg

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

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C++r Jupyter Notebook TeX python datascience machinelearning

AgePredictor

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

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java python shell nlp machine-learning machine-learning-algorithms datascience age usc age-classifier irds

nyc-2019-scikit-sprint

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

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diversity machine-learning opensource scikit-learn datascience women-in-tech

ScalaTIKZ

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

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scala TeX shell chart plots datascience pgfplots vector-graphics tikz-figures

Machine-learning

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

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Jupyter Notebook machine-learning algorithm deep-learning clustering linear-regression datascience model-selection neural-networks polynomial-regression hacktoberfest hacktober nlp-machine-learning prediction-model logisitic-regression decision-tree-regression customer-segmentation random-forest-regression hactoberfest-accepted

vlainic.github.io

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

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blog docker education data-science machine-learning reinforcement-learning ai machine-learning-algorithms prediction datascience aws-ec2 nlp-machine-learning prediction-algorithm prediction-model

R-data-wrangling

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

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HTML TeX CSS javascript workshop material tidyverse teaching datascience rstats data-analysis social-sciences data-workshop

data-science-popular-algorithms

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.

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Jupyter Notebook python r scala machine-learning datascience xgboost recommendation-system kmeans lda data-science-portfolio decision-tree linear-discriminant-analysis lda-model movie-recommender

student-grade-analytics

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

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Jupyter Notebook analytics exploratory-data-analysis datascience predictive-analytics exploratory-data-visualizations performance-analytics grade-analysis

Python-For-DataScience-Machine-Learning-Bootcamp-Udemy

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

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Jupyter Notebook HTML machine-learning data-visualization datascience data-analysis udemy-tutorial

ML-CaPsule

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.

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Jupyter Notebook python HTML javascript CSS r flask data-science machine-learning statistics deep-neural-networks deep-learning deployment analytics data-visualization datascience data-analysis heroku-deployment streamlit-webapp

gretel-python-client

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

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python machine-learning privacy stream-processing datascience privacy-enhancing-technologies synthetic-data

66Days NaturalLanguageProcessing

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

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machine-learning natural-language-processing datascience deeplearning

objectiv-analytics

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

gan deeplearning4j

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

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java Jupyter Notebook data-science machine-learning big-data spark apache-spark computer-vision deep-learning bigdata datascience generative-adversarial-network gan machinelearning deeplearning generative-adversarial-networks deeplearning4j

awesome-conformal-prediction

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

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machine-learning awesome probability uncertainty datascience probability-distribution awesome-list machinelearning deeplearning probability-distributions uncertainty-quantification uncertainty-estimation conformal-prediction

primrose

Primrose modeling framework for simple production models

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python data-science machine-learning deployment datascience primrose workflows dag

Naive-Bayes-Evening-Workshop

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

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python machine-learning datascience classification nlp-machine-learning introduction-to-algorithms introduction-to-python

xgboost-smote-detect-fraud

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!

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Jupyter Notebook machine-learning data-mining analytics machine-learning-algorithms data-visualization datascience data-analysis fraud-prevention fraud-detection fraud sampling-methods skewness skew-correction

k3ai

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.

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go Makefile shell devops machine-learning airflow artificial-intelligence datascience infrastructure-as-code notebooks kubeflow mlops mlflow

Free-Courses-on-Data-Science

No description or website provided.

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deep-learning datascience begineer deeplearning-ai machinelearning-python

61-120 of 142 datascience projects

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