Topic: "linear-model"
sberbank-ai-lab/LightAutoML 📦
LAMA - automatic model creation framework
Language: Python - Size: 23.4 MB - Last synced at: 14 days ago - Pushed at: about 3 years ago - Stars: 925 - Forks: 96
SUDA-LA/CIP
Basic exercises of chinese information processing
Size: 11.2 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 33 - Forks: 17
thundergolfer/Insults
Detect whether a social media comment is insulting or derogatory
Language: Python - Size: 14.4 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 23 - Forks: 5
riscy/machine_learning_linear_models
A demo showcasing linear regression, reduced-rank regression and a linear system identification algorithm for modelling time series -- and when to apply them.
Language: Python - Size: 35.2 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 17 - Forks: 2
afarahi/kllr
Kernel Localized Linear Regression (KLLR)
Language: Python - Size: 27.9 MB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 4
JuliaAI/MLJGLMInterface.jl
MLJ.jl interface for GLM.jl models
Language: Julia - Size: 104 KB - Last synced at: 20 days ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 4
gnu-octave/statistics-resampling Fork of acp29/iboot
A statistics package with a variety of bootstrap and other resampling tools
Language: MATLAB - Size: 17.4 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 8 - Forks: 1
rpsystats/practical-ext-of-intro-stats-in-psy-using-R
Practical Extension of Introductory Statistics in Psychology using R
Language: TeX - Size: 11.1 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 6
pkiage/tool-credit-risk-modelling
Tool demonstrating building credit risk models
Language: Python - Size: 487 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 3
acpennlab/statistics-resampling Fork of gnu-octave/statistics-resampling
A statistics package with a variety of bootstrap and other resampling tools. This repository is synced to the same-named repository owned by GNU-Octave. It exists to facilitate publication of the developmental version of the statistics-resampling toolbox at MathWorks FileExchange.
Language: MATLAB - Size: 18.2 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0
Zhang-Xuewen/ModLinear
A wrapped package to linearize the nonlinear continuous/discrete model. Including **numerical** and **symbolic** calculations.
Language: Python - Size: 125 KB - Last synced at: 2 days ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0
neural-tangjie/NTJ-AIMed_2_Prognosis
:octocat: This repository contains the notes, codes, assignments, quizzes and other additional materials about the course "AI for Medical Prognosis" from DeepLearning.AI Coursera.
Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
antonio-f/TensorFlow2_digits_classification-Linear_Classifier-MLP
TensorFlow2 digits classification - Linear Classifier and MLP
Language: Jupyter Notebook - Size: 897 KB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2
UmarRajpoot/Identify-Spam-Email-ML-Model
This Model is used to Predict Emails data. Either emails are Spam or Normal (Ham) Mail.
Language: Jupyter Notebook - Size: 1010 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
vaitybharati/Assignment-06-Logistic-Regression
Assignment-06-Logistic-Regression. Output variable -> y y -> Whether the client has subscribed a term deposit or not Binomial ("yes" or "no") Attribute information For bank dataset Input variables: # bank client data: 1 - age (numeric) 2 - job : type of job (categorical: "admin.","unknown","unemployed","management","housemaid","entrepreneur","student", "blue-collar","self-employed","retired","technician","services") 3 - marital : marital status (categorical: "married","divorced","single"; note: "divorced" means divorced or widowed) 4 - education (categorical: "unknown","secondary","primary","tertiary") 5 - default: has credit in default? (binary: "yes","no") 6 - balance: average yearly balance, in euros (numeric) 7 - housing: has housing loan? (binary: "yes","no") 8 - loan: has personal loan? (binary: "yes","no") # related with the last contact of the current campaign: 9 - contact: contact communication type (categorical: "unknown","telephone","cellular") 10 - day: last contact day of the month (numeric) 11 - month: last contact month of year (categorical: "jan", "feb", "mar", ..., "nov", "dec") 12 - duration: last contact duration, in seconds (numeric) # other attributes: 13 - campaign: number of contacts performed during this campaign and for this client (numeric, includes last contact) 14 - pdays: number of days that passed by after the client was last contacted from a previous campaign (numeric, -1 means client was not previously contacted) 15 - previous: number of contacts performed before this campaign and for this client (numeric) 16 - poutcome: outcome of the previous marketing campaign (categorical: "unknown","other","failure","success") Output variable (desired target): 17 - y - has the client subscribed a term deposit? (binary: "yes","no") 8. Missing Attribute Values: None
Language: Jupyter Notebook - Size: 58.6 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 5
Marvel0usx/Facial-Recognition
Using the logistic regression model to solve some real-world problems, we can explorer different possibilities and outcomes from it.
Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1
Diego-HernSua/Linear_Discrete_Models_Energy_Production_Optimization
Optimize linear models energy production across 25 regions in a country, balancing renewable and non-renewable sources, seasonal demand fluctuations, and government constraints for cost-effective and environmentally friendly solutions. Using Python Pyomo
Language: Jupyter Notebook - Size: 824 KB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
Franco-Cimmino/Open-Source-Kinematic-Analysis-Toolkit
A free and open-source toolkit has been developed using an anthropomorphic arm model, allowing any data set containing joint angles over time to be implemented to visualise motion for kinematic analysis.
Size: 28 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0
zeeshanmulla/Admission-Prediction-model
find the chance of admission of a candidate based on his/her GRE Score (out of 340), TOEFL Score (out of 120), rating of the University (out of 5) in which he/she is trying to get admission, Strength of the SOP (out of 5), strength of the Letter Of Recommendation (out of 5), CGPA (out of 10) and the research experience (0 or 1) deployed on GCP
Language: Jupyter Notebook - Size: 120 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
vaitybharati/Forecasting_Model_based_methods
Splitting data into Linear Model, Exponential, Qaudratic, Additive seasonality , Additive Seasonality Quadratic , Multiplicative Seasonality, Multiplicative Additive Seasonality. Prediction for new time period
Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
openturns/otlm
[deprecated] Linear model module mingw
Language: C++ - Size: 1.43 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 2
VibhuJawa/vaccine_prediction
This repo explores tweets and government data related to flu vaccination
Language: Jupyter Notebook - Size: 7.68 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0
nishanttomar21/Sentimental-Analysis
Feedback sentiment analysis (Positive, Neutral, Negative). Applied NLP to automatically identify and extract sentiment. Used Sequential and RNN model for analysis.
Language: Python - Size: 470 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Neemias-tech/R-studies
This is a R repository of studies that I made on some data sets. There are linear models, predicition models (boosting - bagging - RandomFlorest), clustering and dendograms.
Language: HTML - Size: 1.59 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
ohmthanap/CS559_Machine-Learning-Fundamentals-Applications
Learned the fundamentals and applications in ML: Intro to Prob. & Linear algebra, Decision Theory, MLE & BE, Linear Model, Linear Discriminant function, Perceptron, FLD, PCA, Non-parametric Learning, Clustering, EM, GMM, EM and Latent Variable Model, Probabilistic Graphical Model, Bayesian Network, Neural Network, SVM, Decision Tree and Boosting
Language: Jupyter Notebook - Size: 62.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Aurelio-Naufal/Project-Linear-Model-Used-Car-Price-Prediction-Model
Predicting Used Car Price with Linear Model
Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
melisnv/data-analysis-in-R-programming
R programming and its application to data analysis and statistical methods
Language: R - Size: 1.3 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
Zauverer/machine_learning_linear_regression
Language: Jupyter Notebook - Size: 19.5 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
r-wisniewski/xG-LinearModel
AHL expected goals linear model in tensorflow
Language: Jupyter Notebook - Size: 2.25 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
Raul-rx7/Linear_Regression---Happiness_and_Alcohol_Consumption
Estudo de Regressão Linear efetivado a partir do Dataset disponÃvel em <https://www.kaggle.com/marcospessotto/happiness-and-alcohol-consumption>
Language: Jupyter Notebook - Size: 190 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
dariga-sm/Disney-Movies-and-Box-Office-Success
Analyze data to see how Disney movies have changed in popularity since its first movie release. Also perform hypothesis testing to see what aspects of a movie contribute to its success.
Language: Jupyter Notebook - Size: 56.6 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
nazaninsbr/Neural-Network-Python
a neural network that classifies handwritten digits
Language: Python - Size: 36.3 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
iamcrj/Linear_Regression_In_Python
Simple Linear Regression in Python using Scatter Plot. Update it with your dataset. This code will work for any dependency of form H:X->Y . I have attached a pdf document of my own notes for this model. Feel free to download. Note : The pdf is for help purpose. Any type of reuse or restructuring is subject to copyright.
Language: Python - Size: 480 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
dolremi/Housing_Price
Housing Prediction Kaggle competition https://www.kaggle.com/c/house-prices-advanced-regression-techniques
Language: Jupyter Notebook - Size: 47.6 MB - Last synced at: 5 months ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 1
