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load-gpx-3d

loading_merging_and_joining_datasets

This is the minimal coding necessary to assemble the various data feeds and sort out the likes of variables naming & new features creation plus some general housekeeping tasks

loan-status-prediction-model-in-r

Data Mining and Random Forest algo using R

loandataanalysis

This project is part of a course program of data science (brought by John-Bryce Training). The project goal was to do exploratory data analysis together with data understanding and preparation. The project was prepared as Rmd file (using RStudio) and was knit to md and html files (included in this repository).

login1

logisticregression

HR Analytics Case Study

logitr

logitr: An R package for estimating multinomial and mixed logit models in "preference" and "willingness to pay" space utility specifications

lookingforseagrass

lsf-dashboard-our-people-data

Creates measures of multidimensional wellbeing for Treasury's LSF Dashboard using data from Stats NZ's 2014 and 2016 General Social Survey.

lsm_in_sihjhong_basin

:sparkles::bar_chart: :chart_with_upwards_trend::sparkles: Landslide Susceptibility Mapping in Sihjhong Basin, Taiwan

lstm

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstm-time-series-analysis

Using LSTM network for time series forecasting

lstm-to-predict-google-stock-prices

Using Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) to predict the stock prices of Google.

lstms_for_predictive_maintenance

LSTMS for Predictive Maintenance

lt-gee

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

ltppnz

NZ LTPP

luderick-seagrass

This dataset comprises of annotated footage of Girella tricuspidata in two estuary systems in South East Queensland, Australia. This data is suitable for a range of classification and object detection research in unconstrained underwater environments.

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

lukelinex.github.io

luminol

Anomaly Detection and Correlation library

lumira-extension-viz

lumira

lustscenario

Luxembourg SUMO Traffic (LuST) Scenario

m4-methods

Data, Benchmarks, and methods submitted to the M4 forecasting competition

ma-615-pinsky

To satisfy MA615 "Data Science in R" final project requirement. And by the way, answer quantitative finance professor Pinsky's question: story behind unusual stock intraday price.

machine-learning

An R Shiny dashboard demonstrating ML algorithms.

machine-learning--linear-regression-insurances-expenses

Predicting the medical expenses of the insurance holders through linear Regression

machine-learning-asset-management

Machine Learning in Asset Management

machine-learning-books

A curated collection of free Machine Learning related eBooks