ozkan serttas's repositories

Data-Science-Interview-Resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

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text-analytics-with-python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

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airbnb_price_pipeline

Starter Code for the Course 2 project of the Udacity ML DevOps Nanodegree Program

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awesome-mlops

A curated list of references for MLOps

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bigdatastuff

Some content around Apache Spark

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data-scientist-roadmap

Toturials coming with the "data science roadmap" picture.

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deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

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devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

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heroku_app_mlops

Udacity Coursework for Deployment with Heroku

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LearnPython3

Snippets, efficient piece of code around Python3

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python-deepdive

Python Deep Dive Course - Accompanying Materials

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pythonadvancedtopix

having fun with the snake

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retentioneering-tools

Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, AB tests, machine learning, and Monte Carlo Markov Chain simulations, extending Pandas, Networkx and sklearn.

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roadmaps

This repo is to add pages on various career paths and roadmaps such as data scientist, software engineer etc.

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templates

LSST file and project templates

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test_ops_kit

Testing MLOPS tools

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TestCutterOz

TestRepo

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udacity_mlops

Repo for some of the version controlling practices

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