FabioMurgese/jobs-selector

The project aim is to classify job offer automatically starting from the text of the job posting.

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joshday/SparseRegression.jl

Statistical Models with Regularization in Pure Julia

Language: Julia - Size: 883 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 40 - Forks: 4

Ahmad-Ali-Rafique/Linear-Regression-Modeling

In-depth exploration of linear regression models, including data cleaning, model building, and performance evaluation on various datasets.

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danieldk/golinear 📦

liblinear bindings for Go

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phipsonlab/spaceMarker

Language: R - Size: 18.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

jackgisby/longitudinal_olink_proteomics

Repository for the paper: "Longitudinal proteomic profiling of dialysis patients with COVID-19 reveals markers of severity and predictors of death" by Gisby et al. doi: https://doi.org/10.7554/eLife.64827

Language: R - Size: 6.88 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 2

DanielMartensson/Optimal-Control

A collection of physical linear state space models with optimal control and Matavecontrol

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cschen1205/cs-glm

General Linear Models implemented in C#

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juliuszlosinski/Sales-Analyzer

Business intelligence analyzer - Supermarket sales.

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jiaowoguanren0615/DLinear

This is a warehouse for DLinear-Pytorch-model, can be used to train your text dataset for time series forecasting tasks.

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mohinichandra/homeprice_prediction

A prediction model developed using python

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outlawhayden/beer-model

OLS Linear Model - Regressing User Beer Ratings based on Observations

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nathanaelrorie/Baseball-On-the-Clock

This is my senior project for my data science degree at Belmont University where I will be looking at the effect of the MLB Pitch Clock on pitcher's performance.

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arnavv-agarwal/Telecom-Customer-Churn

Project on investigating opportunities to decrease customer churn and increase profitability for a telecom company.

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antonior92/advtrain-linreg

Explore properties adversarial training in linear models. Companion code to the paper "Regularization properties of adversarially-trained linear regression"

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yuvalofek/FrequentistML

Linear & logistic regression, model assessment and selection, and gradient boosted trees

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Imperial-College-Data-Science-Society/Lecture-3-Linear-Models

ICDSS Machine Learning Workshop Series: Linear Models

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HayatiYrtgl/ARIMA_Linearregression_XGBOOST_Time_Series_Analysis

This Python script conducts various data processing, visualization, and modeling tasks on a dataset.

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tobiadey/AICoursework

Fashion Mnist Classification (Linear,SVM,CNN)

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Hhhpraise/Student-Performance-Linear-Regression

This GitHub repository contains code for a student performance prediction model utilizing linear regression. The model is built using relevant student data features and implements one-hot encoding for categorical variables. The repository includes data preprocessing, model training, evaluation, and prediction visualization using matplotlib.

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therealowen/Prescription-Drugs-Prediction-using-SAS

Dataset: CDC Wave 2 Survivor Data, Applied multiple regression models including Binomial Reg, Normal Reg, Poisson Reg, Negative Binomial, Forwards Reg, Backwards Reg. Final model selection based on AIC score.

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mmarouen/The-Elements-Of-Statistical-Learning

This repository contains R code for exercices and plots in the famous book.

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Benazir023/Predicting_NYC_property_sale_prices

In this project we’ll use condominium sales data from all 5 boroughs of New York City to determine how well the size of a condominium (measured in gross square feet) explains/predicts sale price for each individual borough & across New York City as a whole.

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neonnnnn/pyrfm

A library for random feature maps in Python.

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felixpatzelt/priceprop

Calibrate and simulate linear propagator models for the price impact of an extrinsic order flow.

Language: Python - Size: 1.11 MB - Last synced at: 30 days ago - Pushed at: over 7 years ago - Stars: 23 - Forks: 9

annareddy1/Boston-Housing-Analysis

Provided valuable insights into the predictive performance of different modeling methodologies for housing price prediction in Boston. It suggests that a combination of linear and non-linear models can be effective and lays the foundation for further research and practical applications in this domain.

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MagedMohamedTurk/Turbomachinery-Rotors-Balancing

Python Tools to Practically Model and Solve the Problem of High Speed Rotor Balancing.

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RomainPierre7/linear_regression

This project is an implementation of linear regression using the least squares method. Generalized for all linear models with fit optimizers, metrics, plots, ...

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Sarthak-Mohapatra/Prediction-of-fare-and-changes-in-airfare-with-Southwest-Airline-entry-in-a-new-route.

In this project, I have used Machine Learning (Linear Regression) for Prediction of fare and changes in airfare when a low cost airlines like Southwest Airline enters a new route in the US Aviation Market.

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DnelZpt/Linear-Systems

An approach to the modeling of linear systems and the analysis of their response to arbitrary inputs, together with data fitting models

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m-clark/R-III-Modeling

Using models to understand relationships and make predictions.

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ylefay/high_dimensional_vector_autoregression

Implementation of High-dimensional vector autoregression time series modeling via tensor decomposition, Di Wang, Yao Zheng, Heng Lian, Guodong Li. Written in JAX.

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Faroja/Machine-Learning-Practice-5

Practice Machine Learning Model Complexity in Linear Model

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AIprototype/LogisticRegression-CreditApproval-Python

Create a machine learning model using logistic regression that can predict credit card approvals from the described dataset.

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Jeshua-Romero-Guadarrama/Introduccion_a_R_Grupo_de_estudios_economicos

📖 Un complemento interactivo para entender y dominar la Estadística Aplicada: Estadística Básica, Aprendizaje Estadístico y Ciencia de Datos con R.

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Jeshua-Romero-Guadarrama/Econoalgoritmia

📖 Un complemento interactivo para entender y dominar la Econoalgoritmia: Econometría Avanzada y Ciencia de Datos con R.

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csreddy98/Machine-Learning-From-Scratch

This project implements the machine learning algorithms from scratch and compares the implementation with sklearn.

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pingapang/book

Analysing data using linear models

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xre22zax/Linear-regression-website-sample

Linear regression and prediction for website

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Scrayil/GlobClus_prop-Analysis

This aim of this project is to analyze globular star clusters in the Milky Way, in order to understand their dynamics. The conducted study examined the properties that affect the central velocity dispersion, their impact and the correlations between them.

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paulinamoskwa/R-Stats

Easy-to-use collection of statistical methods and techniques, all written in R 🗂

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nunososorio/Reduce.Streamlit.App

This application provides an interactive visualization of dimensionality reduction techniques applied to a 2D and 3D demo datasets. The dimensionality reduction methods used in this application are PCA, t-SNE, and UMAP. This application is for educational purposes.

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Iheuzio/TickerPricePrediction

The code implements a neural network model, PricePredictor, trained on historical stock price data to predict future stock prices, visualizing the predictions alongside historical prices and calculating the average of the predicted prices.

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Afrid1045/MBA-Job-Placement-Analysis-Using-Generalized-Linear-Model

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janvdbroek/Generalized-Linear-Models

An introduction to some generalized linear models using the likelihood approach and R. (scroll down for a menu)

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JonasVil/MunozDelgado2014

Implementation on Pyomo of Distribution Expansion Planning Model proposed by Muñoz-Delgado et al. (2014).

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Tikhon-Radkevich/CourseYandexML

These training sessions in machine learning, conducted by Yandex, are dedicated to classical machine learning. This offers an opportunity to reinforce theoretical knowledge through practice on training tasks.

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nulldayo/ai2-exercises Fork of ofenske/WS2022-KI2

Collection of programming exercises from the course "AI2: Foundations of Machine Learning" at the University of Rostock.

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Lynn425/Cook-County-Housing

Complete Exploratory Data Analysis on the Housing data of Cook County and fit a linear model to predict house prices

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Maheshwari1990/Simple-Linear-regression-project-1

"Prediction with Regression"

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aillaud/CUDA-Gradient-Descent

Implementation of a linear classifier on the Google California Housing Data Set in CUDA

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SanaeSaccomano/Machine-Learning

Résumé de mes projets de Machine Learning

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unnatibshah/LASSO-and-Boosting-for-Regression

LASSO and Boosting for Regression on Communities and Crime data

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AleksandraSteiner/adaslope

High dimensional linear regression with missing via adaptive SLOPE

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aurelienboye/LM_LMM_GLM_GLMM

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sharmaroshan/Don-t-Overfit

It is from Kaggle Competitions where the training dataset is very small and the testing dataset is very large and we have to avoid or reduce overfiting by looking for best possible ways to overcome the most popular problem faced in field of predictive analytics.

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AntonioLunardi/statistical_modeling_collection

A pair of scripts that contain profound statistical analyses. The first one approaches a linear model, while the second one a generalized linear model

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ElvisCuiHan/linear-models

Linear models, Bayesian multivariate statistics, probabilistic machine leanring.

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Alexisjr2001/ML-Assignments

Assignments from NIS-08-04 :: Machine Learning University Course, covering Linear Models, Tree Models, and Ensemble Methods.

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jenish112/Indian-Agriculture-Crop-Prediction

🌾The main goal of this research project is to examine the data, on crop production in districts of India from 1997 to 2021.

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caiosaldanha/linearmodels

Linear Models Analysis

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Ravjot03/Machine-Learning-Models

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LindaNab/mecor

measurement error correction

Language: R - Size: 1.42 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 1

Abir0810/covid-19-project-dataanalysis-ml

Work has been done on COVID-19 Bangladesh situation .Where Data Analysis, Data Visualization, Supervised Learning and Unsupervised Learning are used.

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swapanroy/ML_NASA_Nearest_Object

Objective of the program is to classify, nearest earth object as hazardous or not.

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dnemec/SPICE-Libraries

Collection of LTSpice models and simulation circuits collected from various Yahoo groups and all around the internet.

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czopluoglu/rcompanionALSM

An R Companion for the Applied Linear Statistical Models by Kutner, Nachtsheim, Neter, and Li (2005).

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pagrim/LCGradePrediction

Predicting borrower loan grades

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athulvijayan6/pattern-recognition-CS6690

Course work of Pattern Recognition CS6690 IIT Madras

Language: Matlab - Size: 43.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 10 years ago - Stars: 0 - Forks: 2

Moolfel/linear-model-on-Boston-house-datasets

Boston House Price Datasets short demo

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Cucchi01/adult-dataset-deep-learning

I used a dataset called "Adult Data Set" with the goal of creating a deep learning model to predict if the income would be exceed or not 50K a year

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DrJonYearsley/StatsRefresher

Stats Refresher for Stage 4 Undergrads

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JCX1010/2nd-year-R-coursework-

Coursework submission. Statistical modelling with R

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timotheenivalis/Rcode-Stats-Bubbles

Here is the material for a workshop series about biostatistics in R. Topics will include data management, a lot of (generalized) linear (mixed) models, bayesian and frequentist principles, simulations, multi-model inference... or whatever you ask me for

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xiangzhemeng/Kaggle-Higgs-Boson-Machine-Learning-Challenge

Kaggle Higgs Boson Machine Learning Challenge

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cmdecesaris/Casual-Inference-Gun-Laws

Explores the relationship between population demographics, various crime rates, and shall carry gun laws across different regions of the United States between 1977-1999 using a propensity weighted mixed linear effects model.

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InfiniteCuriosity/Pandas-for-Everyone

Working through the book and exercises Pandas for Everyone by Daniel Chen

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DorinK/Assignment-1-Flight-Delays-Dataset

First Assignment on 'Practical topics in Machine Learning' course by Dr. Kfir Bar in Bar-Ilan University

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houshuanglucie/Linear-statistical-model

Course of Linear Statistical Model in ISAE-SUPAERO

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anupamtamrakar/Andrew-ng-Machine-Learning-Course-Assignment

Coursera Machine learning Assignments

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mkearney/tidyreg

🎓 Tidy regression tools for academics

Language: R - Size: 541 KB - Last synced at: 2 months ago - Pushed at: almost 7 years ago - Stars: 23 - Forks: 0

skyepurchase/Simplified_GNN_Concepts

My Part II dissertation looking into extracting concepts from simplified graph neural networks

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AdiShirsath/Machine_learning_projects

Projects on Classification and Regression

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felipemarkson/MunozDelgado2014

Implementation on JuMP of Distribution Expansion Planning Model proposed by Muñoz-Delgado et al. (2014).

Language: Julia - Size: 105 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

SophiaVei/Multi-Label---Multi-Instance-Learning

multi label and multi instance learning on DeliciousMIL dataset

Language: Python - Size: 188 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

shrishti-04/MachineLearning_Notes

Here I am starting with Machine Learning notes after SQL notes. I have covered the following topics such as:

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shadeMe/liblinear-rs

Rust language bindings for the LIBLINEAR C/C++ library

Language: Rust - Size: 122 KB - Last synced at: 24 days ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 3

stenhousestuart/visit_scotland_codeclan_project

An end-to-end data analysis project on Scottish tourism data: Data Modelling, Hypothesis Testing, Geospatial Visualisation

Language: R - Size: 108 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

jeremiedb/EvoLinear.jl

Linear models

Language: Julia - Size: 427 KB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 1

jackgisby/covid-longitudinal-multi-omics

Repository for the paper: "Multi-omics identify LRRC15 as a COVID-19 severity predictor and persistent pro-thrombotic signals in convalescence" by Gisby and Norzawani et al. doi: https://doi.org/10.1101/2022.04.29.22274267

Language: R - Size: 61.2 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

AtharvaTaras/Car-Engine-EDA-ML

Exploratory Data Analysis and Machine Learning

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idjoannachen/Biostatistics-coursework

Coursework in Statistics Theory, Longitudinal & Multilevel Analysis, Survival Analysis, etc. 2019-2021

Language: SAS - Size: 73.1 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

kryptc/smai-lecture-notes

SMAI lecture notes

Size: 10.2 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 34 - Forks: 7

variani/matlm

linear models (lm) in matrix form: testing multiple predictors faster

Language: R - Size: 409 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 1

jolars/tactile

New and Extended Plots, Methods, and Panel Functions for Lattice

Language: R - Size: 4.09 MB - Last synced at: 6 days ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 1

anikristo/LearnedSort

Learned Sort: a model-enhanced sorting algorithm

Language: C++ - Size: 4.99 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 79 - Forks: 12

abdulwajed-farhat/Regression-algorithms-code-from-scratch

This repository provides you the code for the regression algorithms like, linear regression and weight estimation techniques from scratch.

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nachiket273/mlcourse

Solutions to mlcourse.ai assignments

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sachelsout/effect-of-collinear-features-on-linear-models

This repository shows, how linear models behave if the features of the dataset are collinear in nature. Support Vector Machine(SVM) and Logistic Regression(LR) algorithms are used as linear models. Weights and accuracy scores are recorded in different scenarios.

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sachelsout/regression-outlier-effect

This repository shows how outliers affect best fit linear regression line and how we can overcome this outlier problem with regularization.

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