saidamir Goto Github PK
Name: Aziz M.
Type: User
Company: Facebook
Bio: Data Science, Machine Learning, INSEAD MBA, Auburn Biotech
Location: San Jose, California
Name: Aziz M.
Type: User
Company: Facebook
Bio: Data Science, Machine Learning, INSEAD MBA, Auburn Biotech
Location: San Jose, California
100 Days of ML Coding
Answers to 120 commonly asked data science interview questions.
Self-study on Larry Wasserman's "All of Statistics"
Codes related to activities on AV including articles, hackathons and discussions.
A curated list of awesome Machine Learning frameworks, libraries and software.
An introduction to Bayesian statistics using Python and (coming soon) R.
Data wrangling project of OpenMap data of Campbell, CA
Cases from interviews, personal projects etc.
Uplift modeling and causal inference with machine learning algorithms
Predicting churn based on transactional and behavioral data
Solutions for Codewars problems using Python 2.7
A complete computer science study plan to become a software engineer.
Python libraries for Google Colaboratory
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Part of a Udacity class project on creating an app that classifies disaster response messages.
Contains files related to content and project of DSND
Contains files related to content and project of DSND Term 2
Startup DCF modeling for various scenarios (markets, prices, expenses)
Udacity Supervised learning project - Finding donors
The Data Incubator Milestone project
Some of the solutions to the python problems in Hackerrank are given below.
Udacity Deep Learning Image Classifier Project
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Kaggle House prices estimation competition
Amir - Walkthrough notebooks for Deep Learning, Machine Learning, Reinforcement Learning, Spark, Statistics, Algorithms, Scala, Python
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
Building an algorithm for predicting point of interest persons based on emails and compensation
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.