Kostyantyn Kravchenko's repositories
call-for-code-fires
Call for code 2019: Fire Forecasting Project. System of near-real-time monitoring and predicting forest and grass fires based on satellite observations and powered by Deep Learning models.
hackathons-solutions
My solutions and mini-projects for various hackathons
car-plates-ocr
Car plates OCR Competition Solution within MADE Computer Vision Course
thousand-facial-landmarks
Thousand Facial Landmarks Competition Within MADE Computer Vision course. Predict 971 facial points for VGG dataset.
ibm-coursera-capstone
Repository for the IBM Coursera Advanced Data Science Project
kaggle-competitions-framework
Framework for typical Kaggle ensembling
uplift-modeling
RetailHero Uplift Modeling competition solution. Rank the customers in descending order of communication efficiency.
quora-insincere-questions
Kaggle - Quora Insincere Questions Classification. Detect toxic content to improve online conversations. 91-st place solution(silver medal, top 2%).
CourseraML
Репозиторий для изучения курса Machine Learning на Coursera.
Data_Preprocessing_in_Python
Программный код к книге "Предварительная подготовка данных в Python"
GetOldTweets-python
A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.
kcostya-gmail.com
Quora Insincere Questions Classification
kcostya.github.io
Kostya Kravchenko's Private Blog
LambdaMart
Python implementation of LambdaMart
LambdaMart-1
LambdaMart python implementation
lifetime-value-modelling
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
mlcourse_open
OpenDataScience Machine Learning course. Launched on Feb, 5 2018. Finished in TOP-100 out of 1000+ participants.