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Machine Learning to predict share prices in the Oil & Gas Industry. In a nutshell, this is a quick introduction to understand the potential of data science and machine learning used in the oil industry. I have chosen to work with the stock price of a few oil companies (or oil service company) and the oil price data set as an example.
Config files for my GitHub profile.
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!
This repository hosts the code/projects/demos/slides for Big Data technologies under Apache Hadoop and Apache Spark umbrella.
Notes from books and other interesting things that I've read. Table of contents at the end 👇
Segmenting-and-Clustering-Neighborhoods-in-Toronto
Disposable for classd edmo
The IBM Applied Data Science Capstone: The Battle of the Neighborhoods. The project is to cluster Toronto neighborhoods using KMeans to find the best location for starting a coffee shop business.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Data science interview questions and answers
Data Engineering YouTube Analysis Project by Darshil Parmar
An MVC project that consumes data from the National Parks Service API
Deep learning tools for predicting oil well data
We did an analysis of the movie industry to provide recommendations to Microsoft if they decided to enter the movie industry.
Frank Kane's Taming Big Data with Apache Spark and Python, published by Packt
https://github.com/hortonworks/hadoop-tutorials
Introduction to HTML and CSS
Fit interpretable models. Explain blackbox machine learning.
This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.