rickyminh

rickyminh's Stars

• priyanka-kasture/ML-Algorithms

  Fully functional implementations of the most popularly used machine learning algorithms, in Python.

  Language:Python3315

• lerocha/chinook-database

  Sample database for SQL Server, Oracle, MySQL, PostgreSQL, SQLite, DB2

  Language:TSQL1.9k584

• HudsonJamie/tidy_tuesday

  Scripts from Tidy Tuesday fun

  Language:R11417

• ropensci/drake

  An R-focused pipeline toolkit for reproducibility and high-performance computing

  Language:R1.3k129

• ropensci/targets

  Function-oriented Make-like declarative workflows for R

  Language:R94875

• easystats/easystats

  :milky_way: The R easystats-project

  Language:R1.1k78

• avinshe/12hours_On_SQL

  SQL beginner FAQs

  91

• diptampaul/Tutorials

  Here I upload all the codes used in my Tutorials

  Language:Jupyter Notebook1120

• swirldev/swirl_courses

  :mortar_board: A collection of interactive courses for the swirl R package.

  Language:R4.3k7.2k

• fivethirtyeight/data

  Data and code behind the articles and graphics at FiveThirtyEight

  Language:Jupyter Notebook16.9k10.9k

• markfairbanks/tidytable

  Tidy interface to 'data.table'

  Language:R45232

• tiepvupsu/ebookMLCB

  ebook Machine Learning cơ bản

  Language:Jupyter Notebook1.4k360

• jmcphers/jmcphers.github.io

  Github Pages

  Language:CSS2

• Lyfaem/LCData

  1

• xieliaing/SAS

  This is the collection of my own SAS utility macros/ sample code over my past 10 years of SAS programming and analysis experience from 2004 to 2014.

  Language:Rich Text Format308147

• ChiDungNguyen/Chapter3_Tieu_Chi_Danh_Gia

  Language:Jupyter Notebook32

• rahulraghatate/Lending-Club-Loan-Data-Analysis

  Exploratory Data Analysis carried out as part of academic project for STAT-S670 (EDA) course. Project includes data engineering, feature selection using carat package, Random Forest, Correlation test, etc. , default rate analysis and interest rate automation modeling using linear regression and many more.

  Language:R21

• WillKoehrsen/Machine-Learning-Projects

  Machine Learning Experiments and Work

  Language:Jupyter Notebook626491

• tiepvupsu/tiepvupsu.github.io

  My Machine Learning blog

  Language:Jupyter Notebook640561

• xueyan2015/Python_R

  It contains case studies which I used for comparing R and Python

  Language:R3

• hueykwik/titanic

  Comparing Python and R solutions to the Titanic Kaggle Challenge

  Language:Jupyter Notebook2

• rfordatascience/tidytuesday

  Official repo for the #tidytuesday project

  Language:HTML7k2.4k

• tdhock/penaltyLearning

  Supervised machine learning for changepoint detection

  Language:R167

• tdhock/mmit-paper

  Language:R62

• takuto0831/Home_Credit_Kaggle

  Home Credit Default Risk [Kaggle Format] / NN,LifhtGBM, Xgboost

  Language:Jupyter Notebook3

• alexgand/springer_free_books

  Python script to download all Springer books released for free during the 2020 COVID-19 quarantine

  Language:Python1.6k366

• benedekrozemberczki/awesome-decision-tree-papers

  A collection of research papers on decision, classification and regression trees with implementations.

  Language:Python2.4k335

• benedekrozemberczki/awesome-gradient-boosting-papers

  A curated list of gradient boosting research papers with implementations.

  Language:Python1k155