gvyshnya/CreditRiskPrediction

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2
Language
R
License
GNU General Publi...
Created over 8 years ago
Updated over 8 years ago

gvyshnya/CreditRiskPrediction

gvyshnya

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The notebook with materials related to credit risk prediction competition (https://inclass.kaggle.com/c/adatelemz-si-platformok-2016-2-gyakorlat/)

DVC_R_Ensemble

Materials of a case study to build a DVC-based ML pipeline for an R project with ensemble prediction

WPPF

An early prototype of a time-series forecasting app predicting wind power production

COVID19

This is the home of my public efforts in data analytics, research and data science/software development dedicated to various aspects of COVID-19 impact analysis

Jupyter Notebook

ShowOfHands2016

This is the notebook with various submission scripts used to tackle the Kaggle competition per https://inclass.kaggle.com/c/can-we-predict-voting-outcomes

BirdCallClassification

The repo contains various materials created as a part of Cornell Birdcall Identification project

Jupyter Notebook

state-of-data-science-and-ml-2020

This repo contains the notebooks with the comprehansive EDA and data-driven insights from the data collected in Kaggle's 2020 survey of 'State of Data Science and Machine Learning 2020'.

Jupyter Notebook

tab-mar-21

This repo will contain various EDA and ML experiments for Kaggle's March 2021 Tabular Playground competition.

Jupyter Notebook

AdvancedHousePricingProblem

This repo is dedicated to various experiments and research with the data of 'House Prices: Advanced Regression Techniques' problem

Jupyter Notebook

WTTSF_Python

Materials of project per the competition of https://www.kaggle.com/c/web-traffic-time-series-forecasting/

RuTextNormal

This is the repo with Python code of models developed in Google Russian Text normalization competiontion (https://www.kaggle.com/c/text-normalization-challenge-russian-language/)

Spacial_Data_Analysis

The repo contains materials of a project to deliver data mining and data visiualization/analytics based on geospacial data of telecom infrastructure and customer locations of a large national telecom operator