Popular GitHub Repositories for Statsmodels

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

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Hierarchical Time Series Forecasting with a familiar API

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

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

Time Series Decomposition techniques and random forest algorithm on sales data

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

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Jupyter notebooks, accompanying the FinDS Python repo: contains code examples and results for 30+ financial data science projects

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Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification

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.

Forecasting future sales of a product offers many advantages. Predicting future sales of a product helps a company manage the cost of manufacturing and marketing the product. In this notebook, I will try to you through the task of future sales prediction with machine learning using Python.

Library/framework for making predictions. Automatically choose best models (ARIMA, regressions, MLP, LSTM...) from libraries like Scikit, Statsmodels or Tensorflow. Preprocess data and chose optimal parameters of prediction.

Stock market prediction on 5 italian companies using VAR model, OLS regressions and LSTM recurrent neural networks over data retrieved from Refinitiv Eikon

Time series forecasting: ARIMA/SARIMA, Prophet, LSTM networks and ensemble methods along with automated feature engineering for real-time predictive analytics

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.

Chicago Inpatient, Emergency Department, and Outpatient Visits for Respiratory Illnesses Data Analysis & Machine Learning Binary Classification Model