ericbolo

Introduction

This is a list of commands and tricks to fit and evaluate machine learning models using sci-kit learn.

Most of them are notes from this great video series by Kevin Markham: http://www.dataschool.io/machine-learning-with-scikit-learn/

Classification accuracy

from sklearn import metrics print metrics.accuracy_score(y, y_pred);

Introduction

These are notes from this great video series by Kevin Markham: : http://www.dataschool.io/easier-data-analysis-with-pandas/

Reading tabular data

import pandas as pd

pd.read_table('data/chipotle.tsv')

Introduction

This is a guide to installing, configuring and using MongoDB on localhost

Installation & boot configuration

Import public key

sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv EA312927

Installation

sudo apt-get update
sudo apt-get install build-essential
sudo apt-get install -y tcl8.5
wget http://download.redis.io/releases/redis-stable.tar.gz
tar xzf redis-stable.tar.gz
tar xzf redis-stable.tar.gz
make

make test

Introduction

This is a step-by-step guide to:

Creating a MEAN app
Managing and configuring three environments: local, staging and production using heroku
Connecting the app to a remote MongoDB database
Binding the production server to a domain name
Implementing a login/register system via Oauth

	sudo rm -dr ./node_modules

	npm install

	(Assumes you are using NVM, otherwise add "sudo" to above cmd)