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Name: Laura
Type: User
Bio: Quantitative Analyst/Data Scientist
Location: New York
Name: Laura
Type: User
Bio: Quantitative Analyst/Data Scientist
Location: New York
My Answer to 120 Data Science Interview Questions
High performance datastore for time series and tick data
My solution for Self-Driving Car Nanodegree Program - Extended Kalman Filter Project
My solution using Particle Filter
CarND Term 2 Model Predictive Control (MPC) Project
My solution to Udacity CarND Term2 project 2 for Traffic Sign Classifier
Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project
:mortar_board: Path to a free self-taught education in Computer Science!
Portfolio optimization and simulation in Python
A repo for data science related questions and answers
A replica of the AlphaZero methodology for deep reinforcement learning in Python
My solution to the book A Collection of Data Science Take-Home Challenges
Data Science Resources (Mostly Free)
Intro to Git Workshop - PyLadies NYC - Feb 2017
My Blog - UNDER CONSTRUCTION
A booklet on machine learning systems design with exercises
https://huyenchip.com/ml-interviews-book/
Calibrate and simulate linear propagator models for the price impact of an extrinsic order flow.
Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast
Cool Python features for machine learning that I used to be too afraid to use
Source files for "Q Tips: Fast, Scalable and Maintainable Kdb+"
A browser-based experimentation framework for economics research.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Python Implementation of Reinforcement Learning: An Introduction
A curated collection of places where you can learn robotics, algorithms, and other useful tools for aspiring robotics software engineers.
My solution to the book <A collection of Data Science Take-home Challenges>
TensorFlow Tutorial and Examples for beginners
Text and supporting code for Think Stats, 2nd Edition
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.