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Docker allows you to create reproducible workflows as a data scientist. This is an introductory guide to get started on use of docker for data science.
A comprehensive tutorial to learn data science with Julia from scratch. In this article learn about data type and building machine learning models in Julia.
An introduction to linear optimization and example of utilizing linear optimization techniques in python to create a video watch list of TED videos.
25 image processing questions to test the skills of data scientists. This article provides multiple choice image processing questions useful in data science
Test your knowledge of Support Vector Machine (SVM) with this 25-question multiple choice quiz, from basic concepts to advanced topics.
Article describes Bollinger bands and their applications to stock market analysis using Quandl, Tidyverse packages in R and is applied in intra day trading
In this article, learn how to deploy a machine learning model in production using Flask framework in Python.
This guide explains with an example inner workings of Apple’s CoreML for how to build a machine learning model on iOS devices (including iPhone X).
In this article we discuss the basics of SSL with Python implementation, Pseudo labelling and semi supervised machine learning algorithms
Comparative Stock market analysis for banking stocks in India using various machine learning packages in R including Quandl, tidyverse to find hidden trends
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