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Projects in Awesome Lists tagged with statsmodels

A curated list of projects in awesome lists tagged with statsmodels .

https://github.com/bayeswitnesses/m2cgen

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

c csharp dartlang go haskell java javascript lightgbm lightning machine-learning php python r ruby rust scikit-learn statistical-learning statsmodels xgboost

Last synced: 17 Dec 2024

https://github.com/BayesWitnesses/m2cgen

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

c csharp dartlang go haskell java javascript lightgbm lightning machine-learning php python r ruby rust scikit-learn statistical-learning statsmodels xgboost

Last synced: 26 Oct 2024

https://github.com/mars-project/mars

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

dask dataframe joblib lightgbm machine-learning numpy pandas python pytorch ray scikit-learn statsmodels tensor tensorflow xgboost

Last synced: 17 Dec 2024

https://github.com/dipanjans/practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

classification clustering computer-vision convolutional-neural-networks deep-learning jupyter jupyter-notebook keras machine-learning natural-language-processing nltk notebook pandas prophet python scikit-learn spacy statsmodels tensorflow time-series-analysis

Last synced: 19 Dec 2024

https://github.com/dipanjanS/practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

classification clustering computer-vision convolutional-neural-networks deep-learning jupyter jupyter-notebook keras machine-learning natural-language-processing nltk notebook pandas prophet python scikit-learn spacy statsmodels tensorflow time-series-analysis

Last synced: 29 Oct 2024

https://github.com/softwareag/nyoka

Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

lightgbm machine-learning nyoka pmml pmml-exporter python python-library scikit-learn statsmodels xgboost

Last synced: 20 Dec 2024

https://github.com/heidelbergcement/hcrystalball

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

cross-validation data-science fbprophet model-selection pmdarima sarimax sklearn sklearn-api sklearn-compatible sklearn-library sktime statsmodels tbats time-series time-series-forecasting transformer wrapper

Last synced: 21 Dec 2024

https://github.com/eigenfoo/tests-as-linear

Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.

linear-models python scipy statistical-tests statsmodels

Last synced: 16 Dec 2024

https://github.com/sayakpaul/a-b-testing-with-machine-learning

Implemented an A/B Testing solution with the help of machine learning

python sklearn statsmodels xgboost

Last synced: 09 Nov 2024

https://github.com/bhattbhavesh91/linear-regression-assumptions

A small repository explaining how you can validate your linear regression model based on assumptions

assumptions linear-regression linear-regression-assumptions linear-regression-python ols-statsmodels python statsmodels video

Last synced: 16 Nov 2024

https://github.com/msikorski93/forecasting-inflation-rates-of-poland

Recently inflation is a popular topic in Poland and is highest since 2001. Experts presume inflation in Poland should continue to rise, and by the end of 2021 it will be close to 8%. This notebook aims to develop a forecasting model for time series using Python.

autoregressive-models cnn inflation-forecasting lstm sarima statsmodels tensorflow time-series-forecasting

Last synced: 11 Nov 2024

https://github.com/esvs2202/concrete-compressive-strength-prediction

The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.

anaconda data-visualization flask gunicorn-web-server heroku-deployment html5 joblib jupyter-notebook machine-learning-algorithms matplotlib-pyplot numpy pandas pycharm-ide python3 randomizedsearchcv scikit-learn seaborn statsmodels xgboost-regression

Last synced: 09 Oct 2024

https://github.com/mdh266/crimetime

Python web application for exploring and forecasting crime rates in NYC

data-science docker flask-application forecasting-crime-rates geospatial-analysis pandas python statsmodels time-series-analysis

Last synced: 04 Dec 2024

https://github.com/open-risk-academy/academy-course-dat31048

Supporting material for the Open Risk Academy course "Exploratory Data Analysis using Pandas, Seaborn and Statsmodels"

elearning exploratory-data-analysis pandas python seaborn statsmodels

Last synced: 30 Nov 2024

https://github.com/surajiyer/python-data-utils

🚀 Utility classes and functions for common data science libraries

clustering etc matplotlib multiview-clustering nlp pandas sklearn spark statsmodels utilities

Last synced: 10 Dec 2024

https://github.com/themagicalmammal/stock-analyser

Simple to use interfaces for basic technical analysis of stocks.

matplotlib numpy pandas seaborn statsmodels

Last synced: 11 Oct 2024

https://github.com/farahibrar/programming-in-python

Explore a comprehensive collection of Python programming for diverse data analysis and data science projects. This repository covers data exploration, visualization, statistical analysis, machine learning, NLP, and model deployment. Perfect for enthusiasts looking to delve into practical examples and advanced techniques.

beautifulsoup dataanalysis docker flask folium jupyter-notebook machine-learning matplotlib nltk numpy pandas python pytorch scikit-learn scikitlearn scipy seaborn spacy statsmodels tensorflow

Last synced: 06 Dec 2024

https://github.com/nfultz/intro_dueto

~PyDataLA 2020~ talk

calculus keras slides statsmodels

Last synced: 11 Nov 2024

https://github.com/rakibhhridoy/easywaydiveinto-datascience

Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.

algorithms algorithms-implemented bayesian-statistics data-science deep-learning deep-neural-networks linear-algebra machine-learning matplotlib multivariate-calculus numpy optimization pandas python scikit-learn scipy seaborn statistics statsmodels tensorflow

Last synced: 06 Nov 2024

https://github.com/noeyislearning/cancer-linear-regression-model

The correlation between socioeconomic status and lung cancer incidence and mortality rates among low-income populations in the United States.

cancer-research data-analysis data-science data-visualization jupyter-notebook linear-regression-models matplotlib numpy python seaborn statsmodels

Last synced: 06 Dec 2024

https://github.com/bessarodrigo/regressao_linear_salarios

Análise dos fatores que influenciam os salários dos colaboradores de uma empresa, utilizando técnicas de regressão linear múltipla.

matplotlib pandas python regression regression-models seaborn statistics statsmodels

Last synced: 15 Dec 2024

https://github.com/psyplot/psy-reg

Psyplot plugin for visualizing and calculating regression plots

data-science matplotlib netcdf psyplot regression-analysis statsmodels visualization xarray

Last synced: 08 Nov 2024

https://github.com/gabrielmazzotta/time-series-analysis-and-forecasting_case-study

This project focuses on Time Series Analysis techniques, uncovering patterns and leveraging forecasting models to predict future sales trends.

arima-model exponential-smoothing holt-winters-forecasting sarima statsmodels time-series-analysis time-series-decomposition

Last synced: 25 Nov 2024

https://github.com/omar-karimov/time_series_analysis

Using Statsmodels library and Deep Learning model for Time Series Analysis

deep-learning forecasting lstm neural-network statsmodels time-series

Last synced: 21 Nov 2024

https://github.com/alumik/time-series-decomposition

A practical example of time series decomposition

seasonal-trend-loess statsmodels time-series-analysis

Last synced: 21 Nov 2024

https://github.com/gabrielmazzotta/hypothesis-testing---supermarket-sales

Project focused on exploring business insights emphasizing statistical tests.

jupyter-notebook pingouin python scipy-stats statistical-inference statsmodels

Last synced: 25 Nov 2024

https://github.com/aranzadata/taxidemandpredictor

Modelo de regresión de series temporales para predecir la demanda de taxis en un aeropuerto de gran afluencia, optimizando la asignación de la flota mediante la incorporación de características temporales y categóricas utilizando Scikit-learn

forecasting scipy sckit-learn seasonality statsmodels time-series-analysis

Last synced: 09 Dec 2024

https://github.com/kostadinlambov/algorithmic-trading-bot

The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).

lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scipy seaborn sklearn statsmodels xgboost

Last synced: 11 Dec 2024

https://github.com/genndy007/data-analysis

Laboratory works and learning of Data Science (MS PowerBI, Jupyter Notebook, scipy, sklearn, statsmodels, pandas, matplotlib etc)

jupyter-notebook matplotlib pandas powerbi scipy sklearn statsmodels

Last synced: 27 Nov 2024

https://github.com/cherukuri-thanu/conjoint-analysis-netflix

This repository contains configuration files for performing conjoint analysis on Netflix survey data.

conjoint-analysis logistic-regression matplotlib-pyplot netflix numpy pandas squantify statsmodels

Last synced: 09 Nov 2024

https://github.com/dmarks84/ind_project_superstore-sales-time-series-analysis--kaggle

Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2.

chloropleth data-modeling data-visualization eda linear-regression matplotlib numpy pandas python seaborn sklearn statistics statsmodels supervised-ml time-series-analysis

Last synced: 05 Nov 2024

https://github.com/shwetapardhi/assignment-04-simple-linear-regression-2

Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-template numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statsmodels t-score

Last synced: 11 Nov 2024

https://github.com/shwetapardhi/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 t

collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score multi-linear-regression numpy ols-regression p-value pair-plot python r-square-values regress-exog residual-analysis smf statsmodels vif

Last synced: 11 Nov 2024

https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-1

Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.p

cooks-distance correlation-analysis influence-plot leverage-score multi-linear-regression ols ols-regression-model p-value pairplot python r-square-values regression-plot scatter-plot statsmodels

Last synced: 11 Nov 2024

https://github.com/bala-1409/foreign-exchange-rate-time-series-data-science-project

This project will use time series analysis to forecast the exchange rate between the euro and the US dollar. The project will use a variety of statistical techniques, such as ARIMA to model the data and forecast the exchange rate.

data-analysis data-science data-visualization datapreprocessing eda exploratory-data-analysis forecasting machine-learning-algorithms model modelfitting predictive-modeling python3 scikit-learn statsmodels time-series time-series-analysis

Last synced: 29 Nov 2024

https://github.com/jayita11/eda-student-exam-performance

This project performs Exploratory Data Analysis (EDA) and hypothesis testing on student performance data. It explores trends based on attributes like gender, race/ethnicity, parental education, lunch type, and test preparation course completion.

data-analysis eda hypothesis-testing matplotlib pandas python seaborn statsmodels student-performance-analysis

Last synced: 13 Nov 2024

https://github.com/paulo-santos-ds/previsao_total_corridas_taxi

Foi desenvolvido um modelo preditivo específico para atrair mais motoristas durante o horário de pico. Prever a quantidade de pedidos de táxi para a próxima hora.

matplotlib-pyplot numpy pandas python seaborn sklearn statsmodels

Last synced: 23 Nov 2024

https://github.com/niteshchawla/jamboree-linearregression

Analysis will help Jamboree in understanding what factors are important in graduate admissions and how these factors are interrelated among themselves. It will also help predict one's chances of admission given the rest of the variables.

lasso-regression linear-regression machine-learning mean-square-error ols-regression r2-score ridge-regression scaling-methods sklearn statsmodels train-test-using-sklearn variance-inflation-factor

Last synced: 11 Nov 2024

https://github.com/yashika-malhotra/machine-learning---linear-regression-on-education-institute

In this analysis, I built a model to predict graduate admissions using Linear, Ridge, Lasso, and ElasticNet regressions. CGPA, GRE, and TOEFL scores emerged as key predictors. ElasticNet effectively handled multicollinearity and balanced L1 and L2 regularization.

linear-models linear-regression matplotlib normalization numpy pandas python seaborn sklearn sklearn-library standardization standardscaler statsmodels

Last synced: 21 Dec 2024

https://github.com/rakibhhridoy/exploratorydataanalysis-python

Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.

ab-testing chitest data-science eda exploratory-data-analysis ftest hypotheses hypothesis-testing inferential-statistics numpy pandas python statistical-analysis statistics statsmodels ttest

Last synced: 06 Nov 2024

https://github.com/rakibhhridoy/uscrimeanalysis-appliedstatistics

Detecting the key reason for crime(manslaughter) happened in 30 years. There's a lot of aspect present in the data published by US government. The data and the finding can be used in any country prospect,if not all but handy few.

ab-testing applied-statistics crime crime-analysis crime-prediction crime-statistics eda exploratory-data-analysis exploratory-data-visualizations hypothesis-testing machine-learning python statistical-analysis statistical-learning statsmodels visualization

Last synced: 06 Nov 2024

https://github.com/fedesgh/arima_model_for_monetary_base_bcra

Read data from an excel file, clean it and build ARIMA model

arima statsmodels

Last synced: 07 Nov 2024

https://github.com/hermann-web/demand-forecasting-with-python

How to make forecast with python ? I develop a software that allows to : - Make commercial forecasts from a history - Compare several forecasting methods - Display the results (forecasts and comparison)

arima arima-forecasting arima-model demand-forecasting exponential-smoothing forecast forecasting-methods forecasting-models lstm machine-learning python statsmodels time-series

Last synced: 09 Nov 2024

https://github.com/mugambi645/modelling-car-insurance-claim-outcomes

Modelling car insurance claims with statsmodels

car-insurance statsmodels

Last synced: 30 Nov 2024

https://github.com/dynamicanupam/bike_sharing_demand_study_using_linear_regression

Build a regression model to understand the factors on which the demand for bike sharing systems vary on and help a company optimise its revenue.

exploratory-data-analysis linear-regression matplotlib multiple-linear-regression pandas python seaborn sklean statsmodels

Last synced: 12 Nov 2024

https://github.com/ledsouza/reg-linear-ii

Projeto de estudo de técnicas avançadas de modelagem em regressão linear

data-science data-visualization linear-regression pandas seaborn sklearn statsmodels vitrinedev

Last synced: 14 Nov 2024

https://github.com/ledsouza/curso_de_estatistica_parte_4

Projeto de estatística para estudo de correlação e regressão

data-science data-visualization numpy pandas seaborn statsmodels vitrinedev

Last synced: 14 Nov 2024

https://github.com/ledsouza/curso_de_estatistica_parte_3

Projeto de curso de estatística sobre distribuições e teste de hipósteses

data-science data-visualization pandas scipy seaborn statsmodels vitrinedev

Last synced: 14 Nov 2024

https://github.com/mramshaw/intro-to-ml

Intro to Machine Learning - Pattern Recognition for Fun and Profit

machine-learning matplotlib ml numpy pandas pip pip3 python scikit-learn scipy seaborn seaborn-plots sklearn statsmodels tensorflow weka

Last synced: 14 Nov 2024

https://github.com/hariprasath-v/av-job-a-thon-november-2022

Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.

exploratory-data-analysis kaggle lightgbm-regressor matplotlib numpy pandas python rmse-score seaborn sklearn statsmodels timeseries-forecasting

Last synced: 13 Nov 2024

https://github.com/atharvapathak/sales_forecasting_project

Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models

datamining demand-forecasting feature-engineering machine-learning machinelearning python regression-trees retail sales sales-forecasting seaborn sklearn statsmodels time-series-analysis time-series-decomposition

Last synced: 15 Nov 2024

https://github.com/mytechnotalent/phone_information_2024_classification

Phone Information 2024 Exploratory Data Analysis & Machine Learning Classification Model

ai android artificial-intelligence data data-science iphone machine-learning phone statsmodels

Last synced: 20 Nov 2024

https://github.com/1401dev/iowa-liquor-retail-sales-analysis

This repository contains the analysis of Iowa liquor retail sales data, aimed at uncovering sales trends and forecasting future sales patterns. The project involves data cleaning, preparation, and advanced time series analysis using Microsoft SQL Server and Google Colab.

customer-behavior data-analysis data-cleaning data-science data-visualization exploratory-data-analysis forecasting google-colab machine-learning microsoft-sql-server pandas prophet python retail-analytics retail-sales sales-forecasting sales-performance sql statsmodels time-series-analysis

Last synced: 17 Nov 2024

https://github.com/guslovesmath/o3_aqi_emission_ml

Analyzing O3 Air Quality Index trends (2000-2023) in the U.S., this project identifies regions with rising pollution. Utilizing exploratory data analysis and time-series modeling, it offers actionable insights for informed policy decisions on urgent O3 pollution issues.

forecasting machine-learning statsmodels time-series train-test-split

Last synced: 20 Nov 2024

https://github.com/sciviews/modelit

modelling with SciViews::R

r r-package sciviews statsmodels

Last synced: 24 Nov 2024

https://github.com/karencofre/marketing-segmentacion-en-powerbi

Proyecto prueba de hipótesis en powerbi y python

bigquery google-colab powerbi python sql statsmodels

Last synced: 21 Nov 2024