Topic: mlr Goto Github
Some thing interesting about mlr
Some thing interesting about mlr
mlr,Cracking the famous Ames, IA dataset with multiple linear regression.
User: alexspradling
mlr,An introductory machine learning course of 1-2 hours
User: andrewcparnell
Home Page: https://andrewcparnell.github.io/intro_to_ml
mlr,Machine learning models build on real time data
User: ankit013
mlr,Surprise Housing House Price Prediction
User: ashutosh27ind
mlr,This is for Kaggle competition https://www.kaggle.com/c/house-prices-advanced-regression-techniques/ .
User: ashutosh27ind
mlr,Skillenza Upgrad DataScience Hackathon : Rank #18 in Leaderboard
User: ashutosh27ind
mlr,Data Science Project : A digital media company (similar to Voot, Hotstar, Netflix, etc.) had launched a show. Initially, the show got a good response, but then witnessed a decline in viewership. The company wants to figure out what went wrong.
User: ashutosh27ind
mlr,Where I keep my Codes for the New thing I learn.
User: bonniface
mlr,A ๐ณ image to be used on biocai HPC machines
User: cafernandezlo
mlr,Package provides javascript implementation of linear regression and logistic regression
User: chen0040
mlr,Classifying NBA player position based solely on performance statistics
User: christineharris
mlr,shiny-mlr: Integration of the mlr package into shiny
User: coorsaa
mlr,Predicting net yearly revenue of Top 50 US startups on the basis of their financial data.
User: drnitinmalik
Home Page: https://drnitinmalik.github.io/multiple-linear-regression
mlr,Final Project for STA 135 with Dr. Xiucai Ding
User: embarbos
mlr,Micro-reserve model using XGBoost
User: gabrielcrepeault
Home Page: https://gabrielcrepeault.github.io/xgbmr/.
mlr,Using a telecom company's data of services provided to customers and observing how customers use it to predict if they will decide to continue or cease to be a customer of the company.
User: himnish
mlr,LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
User: hirosora
mlr,Big Data Derby Racing Dataset's Analysis Project
User: hita03
mlr,Using regression analysis to create a prediction model to forecast Victorian COVID-19 cases.
User: j-b-ferguson
Home Page: https://justinferguson.me
mlr,Easy Hyper Parameter Optimization with mlr and mlrMBO.
User: jakob-r
mlr,This is the code used in my masters thesis research.
User: juliapredusca
mlr,Documents on Packages and Concepts of Machine learning
User: kartheekpnsn
mlr,prediction modelling using mlr on bike data
User: mathieumarauri
mlr,Machine Learning algorithms in R
User: matthewfishermv
mlr,Climate change is a key factor in how extreme weather events affect how ecosystems and species react to these changes in temperatures. University of British Columbia's (UBC) Botanical Garden is interested in improving microclimate information within the garden to understand how areas with shade create respite zones for species. Due to the recent extreme weather temperatures in Vancouver, the garden is interested in how to continue to adapt and mitigate to these extremes. Microclimates are important as they are cooler temperatures beneath the canopy. Looking at how canopy cover influences land surface temperature can give insight on microclimates. Using LiDAR metrics to calculate canopy cover and Landsat to calculate land surface temperature, a model was built to understand the significance of canopy cover and land surface temperature, with the addition of other LiDAR metrics. The model could only determine a 34% variation between the variables tested. Canopy cover showed to have a p-value of 0.0993 and maximum height had a p-value of 0.0034. To investigate the results further, an unpaired t-test was run to determine the relationship between areas with canopy cover and areas without canopy cover. The t-test showed there are significant differences as the p-value was 0.0035. With the results, they provide observations of how canopy cover currently influences microclimate within the garden. Areas found to have a high percentage of canopy cover reflected lower land surface temperatures. Currently, the model has the structure to predict canopy cover with LiDAR metrics. However, finer data is needed to accurately predict microclimate. Recommendations are provided to enhance the study area with future directions for research within UBC Botanical Garden to conduct a more intricate analysis.
User: meaganng
Home Page: https://doi.org/10.5683/SP3/XR35J2
mlr,The mlr package online tutorial
Organization: mlr-archive
Home Page: http://mlr-org.github.io/mlr/
mlr,Machine Learning in R
Organization: mlr-org
Home Page: https://mlr.mlr-org.com
mlr,Filter-based feature selection for mlr3
Organization: mlr-org
Home Page: https://mlr3filters.mlr-org.com
mlr,Toolbox for Bayesian Optimization and Model-Based Optimization in R
Organization: mlr-org
Home Page: https://mlrmbo.mlr-org.com
mlr,Learners from {dbarts} package for mlr3
Organization: mlr3learners
mlr,A comparison of various ensemble machine learning algorithms (XGboost, random forest, ranger) to predict accelerometers
User: moritzkoerber
mlr,๐ช Linear regression model, predict monthly transaction amount
User: ndleah
Home Page: https://medium.com/@ndleah/predict-next-month-transaction-with-linear-regression-final-3c4d6b62793b
mlr,Used libraries and functions as follows:
User: patilsukanya
mlr,MLR assignment
User: prem-98
mlr,ๅบไบ Pytorch ๅฎ็ฐๆจ่็ณป็ป็ธๅ ณ็็ฎๆณ
User: qikaixu
mlr,Meta-learning basic suite for machine learning experiments.
User: rgmantovani
mlr,multiple linear regression code with examples in python and JS
User: sevak-crypto
mlr,Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
User: shenweichen
Home Page: https://deepctr-doc.readthedocs.io/en/latest/index.html
mlr,R implementation of the Non-dominated Sorting Genetic Algorithm III for multi objective feature selection
User: shramkoartem
mlr,Exploring multiple linear regression methods and techniques while trying to predict the cost of health insurance for a set of individuals using R.
User: siddig-m
mlr,Variable selection for NIR spectral analysis(regression and classification) based on WRC, VIP, SFS, and SPA
User: sleepbysleep
mlr,์ ๋ฌผ ์ง์์ ์ฃผ๊ฐ์ ์๊ด ๊ด๊ณ์ ๋ํ ์ฐ๊ตฌ์ ๋ถ์
User: snowypainter
mlr,Predicting House Price on Boston dataset using Multiple Linear Regression model
User: tissyamalik
mlr,OCaml wrapper on top of R to perform Multiple Linear Regression
User: unixjunkie
mlr,Assignment-05-Multiple-Linear-Regression-2. Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in the past few years State -- states from which data is collected Profit -- profit of each state in the past few years.
User: vaitybharati
mlr,This Git is part of the class of applied regression methods, examples, exercises, etc.
User: yosefguevara012
mlr,Sleep Disorder Prediction with Multinomial Logistic Regression
User: yuliyamkh
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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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.
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Bring data to life with SVG, Canvas and HTML. ๐๐๐
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
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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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.