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linear_regression_live

This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube

linearregression

Feature Selection Code in R using Regression

linearsieve

The Linear Information Sieve

linkeddatasets

linkedin-bulkmessage

Linkedin-bulkmessage

lisa_intern

Experiments with conditional computation, NCE and Hierarchical softmax using Theano and Pylearn2 (in Python)

list_of_recommender_systems

A List of Recommender Systems and Resources

lists

The definitive list of lists (of lists) curated on GitHub

lists-1

things I think I should do, maybe

literature

Data mining, mostly medline. Text mining. Network based analyses.

livescoreboard

A live terminal scoreboard for current NBA games.

livetwitterstreamsentimentanalysis

llsps-int-15-predictive-maintenance-for-airlines

Predictive Maintenance for Airlines

lm

lme4

Mixed-effects models in R using S4 classes and methods with RcppEigen

lmfm

Factorization Machine in Python, trained using Alternating Least Squares

lmsharp

Language model

local-order

Implementation for measuring local order of time series

local_chat

written with python

locality-sensitive-hashing

Experimental implementation of the paper 'Locality-Sensitive Hashing of Curves' published by A. Driemel and F. Silvestri

localization

Some working files on localization

locally-linear-factorization-machine

locally linear factorization machine

locfdr-python

Python implementation of Efron, Turnbull, and Narasimhan's R function locfdr v1.1-7, which computes local false discovery rates. See http://cran.r-project.org/web/packages/locfdr/ for more information.

lodrecsys-datasets

Here, we provide mappings to DBpedia resources of items in well known datasets to evaluate recommender systems. This can allows practitioners in the field to evaluate and compare their algorithms with existing approaches.

logbook

logicvisualizer

logistic

Experimental logistic regression code supporting multiple result categories, many levels of categorical modeling variables, good optimization, L2 regularization and more.

logistic-regression-to-predict-the-sp500

(Python) Logistic regression to predict the S&P 500 using Python

logloss

loki-messenger

Loki Messenger - Onion routing based messenger