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GitHub topics: statmodels

Abhinavexists/Regression

A comprehensive implementation of various regression techniques in Machine Learning.

Language: Jupyter Notebook - Size: 2.87 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 2 - Forks: 0

vermenea/masters---AD-signaling-pathway-using-Hsp90-inhibitor

Influence of 17-AAG a Hsp90 inhibitor on signaling pathway in Atopic Dermatitis

Language: Python - Size: 423 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

egorumaev/2024-ab-tests-metrics

Анализ соответствия размера выборки и плановых значений метрик A/B-теста

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KentaItakura/blog-post-about-conjoint-analysis-

This repo contains files for the blog post about conjoint analysis

Language: Jupyter Notebook - Size: 472 KB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 0

nick-gould/design-of-experiments

Using Python to work up a Design of Experiments

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Hamid-abdellaoui/Crop-yield-prediction

Crop yield Forecasting on the basis of meteorological predictions using some Time series & ML models

Language: Jupyter Notebook - Size: 9.88 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0

xxl4tomxu98/econometrics-gdp-dpi-VAR

Multivariate time series Vector Autoregression Model (VAR) on real world GDP and DPI (and some other indexes). Bayesian Structured Time Series (BSTS).

Language: Jupyter Notebook - Size: 7.19 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 2

HayaAlmutairi/A-B-testing

Tried to understand whether the company should implement a new page or keep the old page with some statistical techniques.

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amruta33/Telecom-Churn-Case-Study

Building a classification model for reducing the churn rate for a telecom company.

Language: Jupyter Notebook - Size: 2.39 MB - Last synced at: 23 days ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ChangZero/Hyundai_Heavy_Industries_DT

Hyundai Heavy Industries Digital Transformation(현대중공업DT인력과정)

Language: Jupyter Notebook - Size: 13.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

DelRene/Detecteur_de_faux_billets

Apprentissage supervisé : Création de modèles prédictifs

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shanuhalli/Assignment-Forecasting

Forecast the Airlines Passengers and CocaCola Prices data set. Prepare a document for model explaining. How many dummy variables you have created and RMSE value for model. Finally which model you will use for Forecasting.

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shanuhalli/Assignment-Simple-Linear-Regression

Predict delivery time using sorting time and Build a prediction model for salary hike.

Language: Jupyter Notebook - Size: 538 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

shanuhalli/Assignment-Multi-Linear-Regression

Prepare a prediction model for profit of 50 startups data and Consider only the some columns and prepare a prediction model for predicting Price.

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shanuhalli/Assignment-Basic-Statistics-Level-2

ExcelR Data Science Assignment No 2

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shanuhalli/Assignment-Basic-Statistics-Level-1

ExcelR Data Science Assignment No 1

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shanuhalli/Assignment-Hypothesis-Testing

ExcelR Data Science Assignment No 3

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PatilSukanya/Assignment-04.-Simple-Linear-Regression-Q1

Used libraries and functions as follows:

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FishmanMax/ML_coursework

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ZeyadMoawad/Udacity-Analyze-A-B-Test-Results-Project

Udacity Data Analyst Nanodegree - Project III

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philsaurabh/Tutorials

Tutorials for BSE classes.

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yujisatojr/py-stock-prediction

Stock price analysis and prediction using pandas

Language: Jupyter Notebook - Size: 275 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Related Keywords
statmodels 22 numpy 12 pandas 10 seaborn 10 python 9 statistics 7 matplotlib 7 machine-learning 5 linear-regression 4 probability 3 scikit-learn 3 data-science 3 sklearn 3 regression 3 hypothesis-testing 2 python3 2 logistic-regression 2 normal-distribution 2 time-series 2 forecasting-models 2 forecasting 2 feature-engineering 2 ols-regression 2 simple-linear-regression 2 model-selection 1 assignment-03 1 types-of-data 1 shape-of-data 1 multi-linear-regression 1 dispersion-data 1 confidence-interval 1 central-tendency-data 1 assignment-01 1 sampling-distributions 1 outlier-detection 1 functions-of-random-variables 1 descriptive-statistics 1 confidence-intervals 1 scalling 1 sklearn-metrics 1 central-limit-theorem 1 assignment-02 1 variance-inflation-factor 1 tvalue 1 ttest 1 supervised-learning 1 rmse-score 1 pvalue 1 principal-component-analysis 1 pca-scratch 1 ordinary-least-squares 1 multiple-linear-regression 1 chisquare 1 anova-analysis 1 matplotlib-pyplot 1 graph 1 correlation 1 t-score 1 smf 1 regression-plot 1 r-square-values 1 p-value 1 model-testing 1 model-predictions 1 model-building 1 eda 1 distplot 1 data-visualization 1 correlation-analysis 1 skit-learn 1 plotly 1 random 1 vector-autoregression-models 1 variational-bayes 1 time-series-analysis 1 multi-step-ahead-forecasting 1 latent-factor-model 1 econometric-analysis 1 dynamic-generalized-linear-models 1 copula-path-forecast 1 bayesian-var-models 1 bayesian-inference 1 sarima 1 predictive-modeling 1 lstm-neural-networks 1 autoregressive 1 arima-model 1 tutorial 1 design-of-experiments 1 jupyter-notebook 1 conjoint-analysis 1 monte-carlo-method 1 latex 1 exploratory-data-analysis 1 assignment-05 1 matlplotlib 1 log-transformation 1 assignment-04 1 trend 1 stationarity 1