adarsh0806
Environmentalist. Machine Learning Engineer. 'Computer Science is no more about computers than astronomy is about telescopes.' EW Dijkstra
San Francisco
Pinned Repositories
cs105
BerkeleyX: CS105x Introduction to Apache Spark
ctci
Pythonic approaches to various algorithmic problems.
data_wrangling
Backbone code for various Data Wrangling projects.
ep2015-ml-tutorial
Beginner's Guide to Machine Learning Competitions, EuroPython 2015, Tutorial
ml_at_scale
Machine Learning problems that tackle scale.
ml_workshop_udacity
ML Workshops @ Udacity
ODSC
ODSC Workshop material.
statistics_with_r
udacity-full-stack
Project work for the Udacity Full-Stack Web Developer Nanodegree
adarsh0806's Repositories
adarsh0806/ml_workshop_udacity
ML Workshops @ Udacity
adarsh0806/ctci
Pythonic approaches to various algorithmic problems.
adarsh0806/ODSC
ODSC Workshop material.
adarsh0806/ml_at_scale
Machine Learning problems that tackle scale.
adarsh0806/statistics_with_r
adarsh0806/cs105
BerkeleyX: CS105x Introduction to Apache Spark
adarsh0806/data_wrangling
Backbone code for various Data Wrangling projects.
adarsh0806/kali
Source code for a content management system built from scratch using Python.
adarsh0806/naive_bayes_tutorial
adarsh0806/ODSCWest
Notes from Data and ML conferences.
adarsh0806/adarshnair.github.io
Build a Jekyll blog in minutes, without touching the command line.
adarsh0806/all-datasets-links
Curated list of all dataset websites that I find
adarsh0806/boa
BoA Training
adarsh0806/cap1
Cap1 workshop
adarsh0806/data_app
Web application that runs an ML model.
adarsh0806/ds_projects
Data Science projects.
adarsh0806/emelendee
adarsh0806/fizz-buzz-tensorflow
fizz buzz in tensorflow
adarsh0806/isdc_issues_tracker
adarsh0806/ml_web_app
Online AI engine that detects tone in text using Natural Language Processing.
adarsh0806/mlconfblog
Repo for preparing the ML conference blog
adarsh0806/odsc-feature-engineering-talk
Feature Engineering with Pipeline Talk at ODSC West 2016, Santa Clara
adarsh0806/oreilly-rl-tutorial
Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.
adarsh0806/PyData2016-SanFrancisco
A Tour of Time Series Analysis
adarsh0806/PyData_Keras_Talk
adarsh0806/python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
adarsh0806/sovereign
🕊 Peer to peer democracy.
adarsh0806/tutorials
adarsh0806/udacious-tensorflow
adarsh0806/workshop-machinelearning-python
Material para Workshop de Machine Learning com Python