maralb83 Goto Github PK
Name: Mario Albuquerque
Type: User
Company: Research Affiliates
Location: Newport Beach
Name: Mario Albuquerque
Type: User
Company: Research Affiliates
Location: Newport Beach
Performance analysis of predictive (alpha) stock factors
Supervised learning regression project done as part of the Machine Learning Engineer Nanodegree at Udacity.
bt - flexible backtesting for Python
Capstone project proposal documentation related to Udacity's Machine Learning Engineer Nanodegree.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.
Data Science projects from Coursera
In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym' and 'finance' to see how they vary over time.
Data Science Coursera specialization-related projects
The Leek group guide to data sharing
Built an algorithm to identify canine breed given an image of a dog. If given image of a human, the algorithm identifies a resembling dog breed.
Dynamic asset allocation investment strategy powered by data science.
Plotting Assignment 1 for Exploratory Data Analysis
A curated list of practical financial machine learning tools and applications.
Supervised learning binary classification project done as part of the Machine Learning Engineer Nanodegree at Udacity
Content for Udacity's Machine Learning curriculum
Capstone project for Udacity's Machine Learning Engineer Nanodegree: predicting deal probability of online advertisements using heterogeneous data types (numerical, categorical, text, and image).
Repository for Programming Assignment 2 for R Programming on Coursera
Materials for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Portfolio and risk analytics in Python
Systematic Trading in python
Repository for teachings on Quant Finance
Peer Assessment 1 for Reproducible Research
The Python code examples from the SciPy and NumPy O'Reilly book
Applied reinforcement learning to build a simulated vehicle navigation agent. This project involved modeling a complex control problem in terms of limited available inputs, and designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties.
Getting and Cleaning Data: Project submission
Titanic Survival Exploration: manual implementation of a decision tree.
Shiny app that computes performance metrics for the top N S&P 500 members.
Practical Machine Learning Course
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.