sandy4321 Goto Github PK

data_analytics_fico_challenge_part1

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)

data_analytics_fico_challenge_part2

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)

data_extraction

Scripts for downloading data on csv format

data_fusion_contest

The solution that took 8th place in private. Data Fusion 2022

data_fusion_contest22_opensol

Open Solution for Data Fusion Contest 2022

data_fusion_contest_2022

ODS VTB contest 2022

data_fusion_contest_2022-1

data_fusion_goodsification

data_fusion_simulation

R code to generate correlated categorical variables and compare statistical matching algorithms

data_fusion_solution

4th place solution for Data Fusion Contest

data_mining

data_mining-1

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.

data_mining_algorithms

Below is the implementation of Data Mining algorithms i.e. ECLAT and Pincer Search, and clustering algorithms i.e. agglomerative and Hierarchical clustering.

data_mining_ii-occupancy-detection

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

data_mining_in_action_2017

data_mining_in_action_2018_spring

data_mining_kaggle

data_open_2018

Shared repo for 2018 Citadel Data Open

data_repr

data_science_competitions

data_science_from_scratch

밑바닥부터 시작하는 데이터 과학 책 정리

data_science_from_scratch_rx

RxPy versions of code from the O'Reilly book "Data Science from Scratch"

data_science_python

Source code for the "Practical Data Science in Python" tutorial

datashader

Bin based rendering toolchain

datasharing

The Leek group guide to data sharing

datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble

datastart

Data Science conference materials

datastructures-cpp

Repository for building data structures from scratch in C++

datatable

A Python package for manipulating 2-dimensional tabular data structures

datatransformation

Feature engineering module