{"repo":"laresbernardo/lares","free":true,"listed":false,"github":"https://github.com/laresbernardo/lares","clone":"git clone https://github.com/laresbernardo/lares.git","description":"Analytics & Machine Learning R Sidekick","language":"R","stars":239,"topics":["r","machine-learning","analytics","visualization","r-package","data-science","rstats","automl","h2o","api"],"license":null,"category":"machine-learning","readme_excerpt":"lares Lean Analytics and Robust Exploration Sidekick ---- lares is an R package designed to automate, improve, and accelerate everyday analytics and machine learning tasks. It offers a wide variety of functions grouped in families for: - Machine Learning : Streamlined model training and evaluation, including friendly AutoML pipelines. - Data Cleaning & Processing : Functions to quickly prepare your data for modeling or analyzes. - Exploratory Data Analysis (EDA) : Instantly visualize and summarize your data. - Reporting : Easily generate comprehensive reports to share insights for MMM and ML models. - Visualization : Out-of-the-box plotting for classification and regression models, timelines, and more. - API Integrations & Scrapers : Simplify data collection from various sources. - Time Series & Portfolio Analysis : Specialized utilities for financial and temporal data. - Credentials & Secrets Management : Securely handle sensitive information in your analytics pipelines. - NLP & Text Analytics : Tools to analyze and process text data. Tip: See all available functions and documentation here or type ?lares:: in RStudio to explore interactively. ---- Installation Windows users: You may need to install RTools to build the dev version. ---- Read about lares in action! - AutoML Quickstart: Introduction to AutoML using lares - Model Results Visualization: Classification Regression - Marketing Mix Model Selection: Select the right MMM candidate - Cross-Correlations: Find Insights wi","default_branch":null,"files":null,"tree":[],"storefront":"/r/laresbernardo","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/laresbernardo/lares/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}