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

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

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).

Time Series Decomposition techniques and random forest algorithm on sales data

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

Financial and Investment Data Science: FinDS Python library and examples for applying quantitative and machine learning methods on structured and unstructured financial data sets

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

End To End Tutorial on Time Series Analysis and Forcasting

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.

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

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

HTTPS Tunneling Data Analysis & Machine Learning Binary Classification Model

This repository contains the code for the Machine Learning Model and Electron App developed for Optum Stratethon.

Stock Price Prediction using ARIMA

Open source data science tutorials for MFlux.ai

Repositório que reuni os módulos 7 ao 13 da Formação Desenvolvimento IA 2023-2024, desenvolvido pela Rocketseat Education.

Statistical Learning Models for Damage Detection in Civil Structures.

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.