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Search results for regression models
regression-models
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112 search results found
Statsmodels
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9,242
Statsmodels: statistical modeling and econometrics in Python
Ggstatsplot
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1,860
Enhancing {ggplot2} plots with statistical analysis 📊📣
Orbit
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1,776
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Hyperlearn
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1,387
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Easystats
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987
🌌 The R easystats-project
Bambi
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976
BAyesian Model-Building Interface (Bambi) in Python.
Gtsummary
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892
Presentation-Ready Data Summary and Analytic Result Tables
Python Ml Course
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724
Curso de Introducción a Machine Learning con Python
Moderndive_book
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693
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Introneuralnetworks
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691
Introducing neural networks to predict stock prices
Parameters
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390
📊 Computation and processing of models' parameters
Statisticalrethinking.jl
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375
Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
100daysofmlcode
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302
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍
Machine Learning Notebooks
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241
Machine Learning notebooks for refreshing concepts.
Morpheus Core
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239
The foundational library of the Morpheus data science framework
Sjstats
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174
Statistical Functions for Regression Models
Stargazer
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166
Python implementation of the R stargazer multiple regression model creation tool
Flight Price Prediction
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136
Now you can get Flight ticket fare with this wonderful end to end project.
Dominance Analysis
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128
This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.
Appelpy
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124
Applied Econometrics Library for Python
Zelig
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107
A statistical framework that serves as a common interface to a large range of models
Ml Dl Scripts
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106
The repository provides usefull python scripts for ML and data analysis
Notebooks
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101
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
Keras Timeseries Prediction
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94
Time series prediction with Sequential Model and LSTM units
Machinelearninglab
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80
Some experiments about Machine Learning
Mljlinearmodels.jl
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79
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
Qrc Net
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70
Implementation of Query-guided Regression Network with Context Policy for Phrase Grounding in Tensorflow
Glmnetutils
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62
Utilities for glmnet
Machineshop
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62
MachineShop: R package of models and tools for machine learning
Bayesian Basics
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61
🚫 ↩️ A document that introduces Bayesian data analysis.
Auditor
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59
Model verification, validation, and error analysis
R Course
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59
Una introduccion al analisis de datos con R y R Studio
Myfm
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56
A Python/C++ implementation of Bayesian Factorization Machines
Pyprocessmacro
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56
A Python library for moderation, mediation and conditional process analysis.
Dotwhisker
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56
Dot-and-Whisker Plots of Regression Results
Website
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53
Website sources for Applied Machine Learning for Tabular Data
Broomextra
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46
Helpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍
Srqm
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39
An introductory statistics course for social scientists, using Stata
Downscale Satellitelst
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35
A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.
Bbai
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33
Deterministic algorithms for objective Bayesian inference and hyperparameter optimization
Ml Hub
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33
A Hub for all your Machine Learning Projects ranging from Beginner to Intermediate level. Get started with your Open Source and Machine Learning Journey with this beginner-friendly repository.
Gold Price Analysis
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31
Creating a model to analyze and predict the trend of the prices of gold.
Calcumlator
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30
An intelligently dumb calculator that uses machine learning
Statistical Modeling Examples
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28
Basic statistical modelling examples.
Kaggle Competition Sberbank
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26
Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-
Appendices
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25
Complement the article 'Differential Machine Learning' (Huge & Savine, 2020), including mathematical proofs and important implementation details for production
Greybox
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25
Regression model building and forecasting in R
Calm
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24
Conditional Associative Logic Memory
Joinerml
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24
R package for fitting joint models to time-to-event data and multivariate longitudinal data
Slowmokit
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24
Library which can be used for machine learning in C++.
Sparsereg
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24
a collection of modern sparse (regularized) linear regression algorithms.
Btc_data
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23
This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"
Lssvmlib
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21
This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning model. The Classes are designed to integrate smoothly with the scikit-learn library.
Tf 1d 2d Resnetv1 2 Seresnet Resnext Seresnext
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18
Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).
Sales Prediction
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17
In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.
Age Prediction
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17
This Project is an applicaton based on Computer vision and Machine learning implementation using regression supervised classification.
Estadistica 2
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17
Repositorio github del curso Estadística 2 por Matheo Muñoz Betancur
Countries Gdp Prediction
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17
Developed a supervised machine learning system that can estimate a country's GDP per capita using regression algorithms.
Titanic_survival_exploration
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16
Udacity Machine Learning Nano degree Program Project Predicting Passenger Survival
Rollregres
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16
R package for fast rolling and expanding linear regression models
Deep Learning Workshop
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14
The repository contains python codes, which I have developed as the facilitator of the two consecutive Deep Learning Workshops (I and II) for the master's students of computer science, University of Windsor.
Volatility Modeling Python Datasci
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13
Undergraduate Thesis published by the Seoul National University Department of Economics (2020)
Rchemo
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13
Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.
Bess
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12
Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis
Ftrlproximal
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12
R package for online training of regression models using FTRL Proximal
Intro_to_dl_tutorial
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11
Material for introduction to Deep Learning Tutorials, Summer '20, '21
Nycbuildingenergyuse
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11
Creating Regression Models Of Building Emissions On Google Cloud
Tidy Tuesday
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11
#TidyTuesday to practice data analysis in R
Gpl Covid
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11
Repo for code and small datasets related to Global Policy Lab's COVID-19 policy analysis. Read and share the acompanying article here:
Electricitydemandforecasting
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10
Electricity demand forecasting for Austin, TX, using a combination of timeseries methods and regression models
Forest Fire Prediction
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10
Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.
Aidotnet
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9
A new library for all of the newest ai algorithms
Boilerplate For Django Ml Model Deployment
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9
A Django wrapper that can be used for building web apps for Machine Learning projects.
Deep Learning Pytorch Course Materials
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9
This Repository contains Python Notebooks to learn PyTorch starting from the very basics of implementing gradient descent algorithm in Python and Numpy and slowly moving up the ladder to Deep Learning using PyTorch
Regression Error Characteristic Curve
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8
Regression Error Characteristic (REC) Curves in Python
Udemy Self Driving Car
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8
🚗[src] + [personal notes] for the "Self-Driving Car" course on UDEMY
Drr
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8
Dimensionality Reduction via Regression using Kernel Ridge Regression in R
Matdrab2matfab
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8
MATLAB and data science course, taking you from MATDRAB to MATFAB in 8 weeks! General course covering the basics of MATLAB, Signal processing, Statistics, and Machine Learning
Data_science_introduction_with_python
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8
En este proyecto de GitHhub podrás encontrar parte del material que utilizo para impartir las clases de Introducción a la Ciencia de Datos (Data Science) con Python.
Heart Disease Prediction System Using Machine Learning
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7
A Heart Disease Prediction System built on machine learning
Bike Sharing Demand Kaggle
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7
Predicting Bike Rental Demand using Linear and Non-linear Regression Models
Rnn Based Stock Price Prediction Using Lstm
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7
This repository will consist of a Long Short-Term Memory implementation of a Recurrent Neural Network used to predict the stock prices of Google Stocks for the next working day based on their past few days opening price trends.
Dubai Housing Prices
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7
ML model trained on data from Bayut.com to predict housing prices in Dubai
Time Series Forecasting Using Machine Learning Algorithm
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7
Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME software. Now the goal is to do the prediction/forecasting with machine learning. The idea is to check the result of forecast with univariate and multivariate time series data. Regression method, Statistical method.
Mercy
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7
Functions and code snippets to help save the time!
Time Series Pib
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6
Brazilian PIB (GDP) time series analysis.
Kaggle Brainnetprediction Toolbox
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6
A Python toolbox for predicting brain network (graph) evolution over time from a single observation. The codes of the 20 competing Kaggle teams along with the competition datasets are made available.
Car Price Prediction Highly Comprehensive Linear Regression Project
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6
A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.
Hybrid Recommender System
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6
A repository for a machine learning project about creating a hybrid movie recommender system.
Ml
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6
Machine Learning Algorithms
Google Advanced Data Analytics Professional Certificate
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6
The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepare for jobs like Senior Data Analyst and Junior Data Scientist.
Betaregression.jl
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6
Regression models for beta distributed responses in Julia
Ssgpr
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6
Sparse Spectrum Gaussian Process Regression
Cryptocurrency Predictor
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6
A Machine learning pipline which gathers data from coinmarketcap.com and analyzes it using a neural network regression implemented in keras
Casebase
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6
Recalibratinn
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6
Quantile Recalibration of Gaussian Models
Statsassume
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5
Automating Assumption Checks for Regression Models (Work in Progress)
Pre Owned
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5
This web-based application uses machine learning to predict the price of used cars in India.
Airbnb Rental Price Prediction
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5
The objective of this project is to model the rental prices for Airbnb apartments in London.
Regression With Python And R
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5
Regression with Python & R.
1-100 of 112 search results
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