statsmodels

There are 2 repositories under statsmodels topic.

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
machine-learning scikit-learn statistical-learning xgboost lightgbm java python c javascript go csharp php r dartlang statsmodels lightning haskell ruby rust
Language:Python 2706
mars-project / mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
python numpy tensor pandas machine-learning scikit-learn tensorflow pytorch xgboost lightgbm ray statsmodels joblib dataframe dask
Language:Python 2675
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.
machine-learning deep-learning python classification clustering natural-language-processing computer-vision spacy nltk scikit-learn prophet time-series-analysis convolutional-neural-networks tensorflow keras statsmodels pandas jupyter notebook jupyter-notebook
Language:Jupyter Notebook 2197
unslothai / hyperlearn
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
machine-learning python statistics scikit-learn statsmodels pytorch deep-learning data-science data-analysis regression-models econometrics tensor neural-network gpu research optimization
Language:Jupyter Notebook 1562
tirthajyoti / Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
statistics python numpy pandas numerical-analysis analytics machine-learning bayesian-statistics inferential-statistics statsmodels probability mathematics mathematical-programming matplotlib scipy data-science normal-distribution hypothesis-testing anova clustering
Language:Jupyter Notebook 785
report
easystats / report
:scroll: :tada: Automated reporting of objects in R
reporting r apa reports statsmodels bayesian models automated-report-generation easystats rstats manuscript describe report anovas scientific automatic hacktoberfest r-package
Language:R 660
jthomperoo / predictive-horizontal-pod-autoscaler
Horizontal Pod Autoscaler built with predictive abilities using statistical models
autoscaler autoscaling go golang horizontal-pod-autoscaler kubernetes operator operator-framework operator-sdk predictions predictive-analytics python replicas statistical-models statsmodels
Language:Go 328
carlomazzaferro / scikit-hts
Hierarchical Time Series Forecasting with a familiar API
time-series machine-learning hierarchical-data fbprophet statsmodels exponential-smoothing time-series-analysis scikit-learn
Language:Python 219
SoftwareAG / nyoka
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
pmml python python-library nyoka pmml-exporter machine-learning scikit-learn xgboost lightgbm statsmodels
Language:Python 182
Mogeng / IOHMM
Input Output Hidden Markov Model (IOHMM) in Python
python hidden-markov-model graphical-models sequence-to-sequence machine-learning linear-models sequence-labeling supervised-learning semi-supervised-learning unsupervised-learning time-series scikit-learn statsmodels
Language:Python 153
heidelbergcement / hcrystalball
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
sklearn fbprophet pmdarima sarimax time-series-forecasting time-series model-selection cross-validation statsmodels tbats sklearn-compatible sklearn-api sklearn-library transformer wrapper data-science sktime
Language:Python 152
eigenfoo / tests-as-linear
Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
statistical-tests linear-models statsmodels scipy python
Language:HTML 80
ajitsingh98 / Time-Series-Analysis-and-Forecasting-with-Python
Time Series Analysis and Forecasting in Python
arima-forecasting arima-model deep-learning-for-time-series fbprophet holt-winters-forecasting lstm-neural-networks machine-learning-algorithms moving-average multivariate-timeseries numpy pandas prophet-facebook python-3 sarimax stats stats-api statsmodels time-series-analysis time-series-forecasting univariate-timeseries
Language:Jupyter Notebook 74
30lm32 / ml-time-series-analysis-on-sales-data
Time Series Decomposition techniques and random forest algorithm on sales data
time-series-analysis sales-forecasting sales regression-trees time-series-decomposition machinelearning datamining seaborn sklearn statsmodels
Language:Jupyter Notebook 51
sayakpaul / A-B-testing-with-Machine-Learning
Implemented an A/B Testing solution with the help of machine learning
python xgboost statsmodels sklearn
Language:Jupyter Notebook 40
thekioskman / mean_reversion_strategies
Here I go through the processing of prototyping a mean reversion trading strategy using statistical concepts, then test it in backtrader.
pandas python statistics statsmodels time-series
Language:Jupyter Notebook 32
30lm32 / ml-spam-sms-classification
Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification
word2vec gensim keras nlp machine-learning ml randomforest svm deep-learning classification naive-bayes sklearn pipeline gridsearchcv lstm-neural-networks spam-classification tf-idf statsmodels sms-classification sms
Language:Jupyter Notebook 26
terence-lim / data-science-notebooks
Jupyter notebooks, accompanying the FinDS Python repo: contains code examples and results for 30+ financial data science projects
data-science machine-learning text-mining network-science financial-data edgar tick-data taq quant-factors pytorch spacy sklearn pandas statsmodels alfred fred-md bea
Language:Jupyter Notebook 25
santarabantoosoo / Data-Analysis-NanoDegree-2.0
Udacity FWD2.0 advanced data analysis nano degree connect sessions
sql statistical-analysis python statsmodels tableau
Language:Jupyter Notebook 24
midnightradio / tsa-tutorial
Material for the tutorial, "Time series analysis with pandas" at T-Academy
pandas time-series-analysis statsmodels
Language:Jupyter Notebook 23
nirupamaprv / Analyze-AB-test-Results
E-Commerce Website A/B testing: Recommend which of two landing pages to keep based on A/B testing
ab-testing hypothesis-testing logistic-regression p-value e-commerce landing-page statsmodels conversion-tracking
Language:HTML 23
terence-lim / financial-data-science
Financial and Investment Data Science: FinDS Python library and examples for applying quantitative and machine learning methods on structured and unstructured financial data sets
financial-data tick-data quant-factors text-mining data-science machine-learning network-science taq edgar pytorch spacy sklearn statsmodels
Language:Python 21
JavierCastilloGuillen / Quantitative_Toolbox
On this repository you'll find tools used for Quantitative Analysis and some examples such: MonteCarlo Simulations, Linear Regression, General Data Visualiztions, Time-Series Analysis, etc.
numpy pandas statsmodels regression-analysis scikit-learn yfinance
Language:Jupyter Notebook 20
nikhils10 / Time-Series-Forecasting-Apple-Stock-Price-Using-SARIMA-Prophet
Time Series forecasting using Seasonal ARIMA & Prophet. Applied statistical tests like Augmented Dickey–Fuller test to check stationary of series. Checked ACF ,PACF plots to identify Moving average and Auto-regressive order of series. Transformed series to make it stationary.
arima-forecasting fundamental-analysis prophet python statsmodels stock-price-prediction timeseries-forecasting valuation
Language:Jupyter Notebook 20
mrankitgupta / Statistics-for-Data-Science-using-Python
Sharing the solved Exercises & Project of Statistics for Data Science using Python course on Coursera by Ankit Gupta
coursera coursera-data-science data-analysis data-science data-visualization matplotlib numpy pandas python python-library python3 regression scikit-learn scipy seaborn sql statistics statsmodels ankitgupta mrankitgupta
Language:Jupyter Notebook 19
scailable / sclblpy
Python package for Scailable uploads
deployment python machine-learning statsmodels
Language:Python 19
amanjeetsahu / Time-Series-Analysis-and-Forecasting
End To End Tutorial on Time Series Analysis and Forcasting
forecasting statsmodels pandas keras
Language:Jupyter Notebook 17
MajorLift / volatility-modeling-python-datasci
Undergraduate thesis, Seoul National University Dept. of Economics — "Modeling Volatility and Risk Spillover Between the Financial Markets of US and China Using GARCH Value-at-Risk Forecasting and Granger Causality."
arima-forecasting data-science data-vizualization financial-engineering garch-model granger-causality jupyter-notebook numpy pandas pyplot python3 regression-models research-paper risk-modelling scipy-stats seaborn statsmodels time-series-analysis value-at-risk volatility-modeling
Language:HTML 17
zeeshanmulla / Time-Series-Analysis-With-Python-TSA-
A Repo of Time-series analysis techniques. Holt-Winter methods, ACF/PACF, MA, AR, ARMA, ARIMA, SARIMA, SARIMAX, VAR, VARMA, RNN Keras, Facebook- Prophet etc.
arima autoregressive facebook holt-winters-forecasting prophet rnn-keras sarimax statsmodels varmax
Language:Jupyter Notebook 17
Owinnie / Data-Science-Lab
Learning Data Science
pandas-dataframe pandas-python matplotlib plotly-express eda numpy sns acf autoregression hyperparameter-tuning pacfplots statsmodels time-series decision-tree decision-tree-classifier demographics logistic-regression sqlite3
Language:Python 14
ileanadatamania / Data-Science-Portfolio
Data Science Portfolio
kmeans-clustering nlp eda exploratory-data-analysis matplotlib seaborn sklearn wordcloud price-analysis statsmodels price-elasticity price-comparison ab-testing nltk poisson-distribution
Language:Jupyter Notebook 13
m-clark / more-mixed-models-2019
Demonstration of alternatives to lme4
lme4 mgcv glmmtmb rstanarm brms mixed-models random-effects python statsmodels
Language:R 13
Forecasting-Inflation-Rates-of-Poland
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 inflation-forecasting sarima statsmodels time-series-forecasting cnn lstm tensorflow
Language:Jupyter Notebook 13
bhattbhavesh91 / linear-regression-assumptions
A small repository explaining how you can validate your linear regression model based on assumptions
linear-regression-assumptions linear-regression linear-regression-python statsmodels python ols-statsmodels video assumptions
Language:Jupyter Notebook 12
ricardozacarias / ironhack-labs
The collection of exercises I did during Ironhack's Data Science bootcamp.
pandas sql git tableau exploratory-data-analysis regex matplotlib seaborn api statistics probability-distribution scipy statsmodels scikit-learn numpy web-scraping goodness-of-fit hypothesis-testing tensorflow keras
Language:Jupyter Notebook 12
emunozlorenzo / MyCheatSheets
Awesome cheatsheets for Data Science
arima cheatsheet deep-learning deep-neural-networks facebook-prophet machine-learning machinelearning prophet python sarima sarimax scikit-learn series-temporales sklearn statsmodels time time-series timeseries
Language:Jupyter Notebook 11

statsmodels

BayesWitnesses / m2cgen

mars-project / mars

dipanjanS / practical-machine-learning-with-python

unslothai / hyperlearn

tirthajyoti / Stats-Maths-with-Python

easystats / report

jthomperoo / predictive-horizontal-pod-autoscaler

carlomazzaferro / scikit-hts

SoftwareAG / nyoka

Mogeng / IOHMM

heidelbergcement / hcrystalball

eigenfoo / tests-as-linear

ajitsingh98 / Time-Series-Analysis-and-Forecasting-with-Python

30lm32 / ml-time-series-analysis-on-sales-data

sayakpaul / A-B-testing-with-Machine-Learning

thekioskman / mean_reversion_strategies

30lm32 / ml-spam-sms-classification

terence-lim / data-science-notebooks

santarabantoosoo / Data-Analysis-NanoDegree-2.0

midnightradio / tsa-tutorial

nirupamaprv / Analyze-AB-test-Results

terence-lim / financial-data-science

JavierCastilloGuillen / Quantitative_Toolbox

nikhils10 / Time-Series-Forecasting-Apple-Stock-Price-Using-SARIMA-Prophet

mrankitgupta / Statistics-for-Data-Science-using-Python

scailable / sclblpy

amanjeetsahu / Time-Series-Analysis-and-Forecasting

MajorLift / volatility-modeling-python-datasci

zeeshanmulla / Time-Series-Analysis-With-Python-TSA-

Owinnie / Data-Science-Lab

ileanadatamania / Data-Science-Portfolio

m-clark / more-mixed-models-2019

msikorski93 / Forecasting-Inflation-Rates-of-Poland

bhattbhavesh91 / linear-regression-assumptions

ricardozacarias / ironhack-labs

emunozlorenzo / MyCheatSheets