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Assignment 1 of the module Data Analytics. Focuses on data understanding and preparation for a particular problem and dataset. (https://community.fico.com/s/explainable-machine-learning-challenge?tabset-3158a=2)
Assignment 2 of the module Data Analytics. Focuses on building and evaluating prediction models for a particular problem and dataset. (https://community.fico.com/s/explainable-machine-learning-challenge?tabset-3158a=2)
Scripts for downloading data on csv format
The solution that took 8th place in private. Data Fusion 2022
Open Solution for Data Fusion Contest 2022
ODS VTB contest 2022
R code to generate correlated categorical variables and compare statistical matching algorithms
4th place solution for Data Fusion Contest
The Generalized Sequential Patterns (GSP) algorithm designed by Srikant and Agrawal in 1996 extended the basis Apriori algorithm with the opportunity to use time constraints, sliding window and taxonomies. For example the shop owner may be interested in knowing whether certain products were bought together (in a given order) in a certain amount of time (e.g a month). Unfortunately such scenario is not possible using basis Apriori algorithm since this algorithm is generating all frequent sets families and not frequent sequential pattern.
Below is the implementation of Data Mining algorithms i.e. ECLAT and Pincer Search, and clustering algorithms i.e. agglomerative and Hierarchical clustering.
The aim of this project is to prepare the dataset in order to solve several tasks including applying basic & advanced classification models, Time Series Analysis and Forecasting/Classification, Sequential Pattern Mining, Outlier Detection and Explainability
Shared repo for 2018 Citadel Data Open
밑바닥부터 시작하는 데이터 과학 책 정리
RxPy versions of code from the O'Reilly book "Data Science from Scratch"
Source code for the "Practical Data Science in Python" tutorial
Bin based rendering toolchain
The Leek group guide to data sharing
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble
Data Science conference materials
Repository for building data structures from scratch in C++
A Python package for manipulating 2-dimensional tabular data structures
Feature engineering module
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.