linear-model
There are 36 repositories under linear-model topic.
sberbank-ai-lab/LightAutoML
LAMA - automatic model creation framework
SUDA-LA/CIP
Basic exercises of chinese information processing
thundergolfer/Insults
Detect whether a social media comment is insulting or derogatory
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.
afarahi/kllr
Kernel Localized Linear Regression (KLLR)
gnu-octave/statistics-resampling
A statistics package with a variety of bootstrap and other resampling tools
JuliaAI/MLJGLMInterface.jl
MLJ.jl interface for GLM.jl models
UmarRajpoot/Identify-Spam-Email-ML-Model
This Model is used to Predict Emails data. Either emails are Spam or Normal (Ham) Mail.
rpsystats/practical-ext-of-intro-stats-in-psy-using-R
Practical Extension of Introductory Statistics in Psychology using R
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.
pkiage/tool-credit-risk-modelling
Tool demonstrating building credit risk models
acpennlab/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.
antonio-f/TensorFlow2_digits_classification-Linear_Classifier-MLP
TensorFlow2 digits classification - Linear Classifier and MLP
denimamab/PredictHandwrittenDigits
This is a mini project based on two pre-trained models Linear and Convolutional neural networks, and perform predictions in real time according to a draw area where you can draw the digit using the mouse.
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
Marvel0usx/Facial-Recognition
Using the logistic regression model to solve some real-world problems, we can explorer different possibilities and outcomes from it.
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.
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
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
Zhang-Xuewen/ModLinear
A wrapped package to linearize the nonlinear continuous/discrete model. Including **numerical** and **symbolic** calculations.
nazaninsbr/Neural-Network-Python
a neural network that classifies handwritten digits
openturns/otlm
[deprecated] Linear model module mingw
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
VibhuJawa/vaccine_prediction
This repo explores tweets and government data related to flu vaccination
admeeer/model_crudeoil
A linear model on NYMEX WTI Crude Oil weekly data that predicts the High and Low of each based on the Open, Close, and Volume.
Aurelio-Naufal/Project-Linear-Model-Used-Car-Price-Prediction-Model
Predicting Used Car Price with Linear Model
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.
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.
melisnv/data-analysis-in-R-programming
R programming and its application to data analysis and statistical methods
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.
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
r-wisniewski/xG-LinearModel
AHL expected goals linear model in tensorflow
Raul-rx7/Linear_Regression---Happiness_and_Alcohol_Consumption
Estudo de Regressão Linear efetivado a partir do Dataset disponível em <https://www.kaggle.com/marcospessotto/happiness-and-alcohol-consumption>
dolremi/Housing_Price
Housing Prediction Kaggle competition https://www.kaggle.com/c/house-prices-advanced-regression-techniques
nishanttomar21/Sentimental-Analysis
Feedback sentiment analysis (Positive, Neutral, Negative). Applied NLP to automatically identify and extract sentiment. Used Sequential and RNN model for analysis.