Meireles90

Meireles90's Stars

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python23.9k938704.6k

• datasciencescoop/Data-Science--Cheat-Sheet

  Cheat Sheets

  Language:TeX18.3k

• mml-book/mml-book.github.io

  Companion webpage to the book "Mathematics For Machine Learning"

  Language:Jupyter Notebook13.2k4787672.4k

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.3k284221.8k

• firmai/industry-machine-learning

  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

  Language:Jupyter Notebook7.2k38621.2k

• WillKoehrsen/Data-Analysis

  Data Science Using Python

  Language:Jupyter Notebook5.2k354613.6k

• dreamRs/esquisse

  RStudio add-in to make plots interactively with ggplot2

  Language:R1.8k51230230

• chocoluffy/deep-recommender-system

  深度学习在推荐系统中的应用及论文小结。

  Language:Jupyter Notebook794301183

• ModelOriented/DrWhy

  DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

  Language:R68135985

• iamericfletcher/awesome-r-learning-resources

  A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).

  55725096

• yusuzech/r-web-scraping-cheat-sheet

  Guide, reference and cheatsheet on web scraping using rvest, httr and Rselenium.

  Language:R385221104

• alastairrushworth/inspectdf

  🛠️ 📊 Tools for Exploring and Comparing Data Frames

  Language:R250144225

• harunurrashid97/100-Days-Of-ML-Code

  A day to day plan for this challenge. Covers both theoritical and practical aspects

  Language:Jupyter Notebook222200107

• szilard/GBM-perf

  Performance of various open source GBM implementations

  Language:HTML215225528

• rafalab/ds4stats

  Data science for statisticians workshop

  15013030

• programming-for-data-science/book-exercises

  Language:R119110759

• tdg5/stats-learning-notes

  Notes from Introduction to Statistical Learning

  Language:Ruby1137051

• m-clark/bayesian-basics

  :no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.

  Language:Stan836226

• revodavid/mlops-r

  Resources for Machine Learning Operations with R

  414115

• srfdata/srfdata.github.io

  GitHub Page of SRF Data

  Language:HTML322010

• FavioVazquez/ds-optimus

  How to do data science with Optimus, Spark and Python.

  Language:Jupyter Notebook185023

• m-clark/exploratory-data-analysis-tools

  A survey of tools that make EDA more automated.

  Language:R17212

• altova/RaptorXML-Examples

  Examples for using the Python API in RaptorXML+XBRL Server to process XBRL instances and taxonomies

  Language:C#15704

• m-clark/mixed-models-with-R-workshop

  This is the companion slides, data, and RStudio project for a workshop on mixed models.

  14203

• MvanSmeden/SimExamples

  Examples of statistical simulations

  Language:R14306

• m-clark/easy-bayes

  Workshop to introduce participants to rstanarm and brms.

  Language:R4302

• DiarmuidM/longitudinal-data-analysis

  Materials for one-day course in Longitudinal Data Analysis

  Language:Jupyter Notebook2201

• MvanSmeden/DiabetesClusters

  Finding optimal number of k-means clusters

  Language:R2001

• turnerdan/rvest_tutorial

  A look at web scraping in R!

  1205

• tyatabe/Longitudinal-data-analysis

  R code for longitudinal data analysis class homeworks

  Language:HTML11