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Name: Dimitri Grinkevich
Type: User
Company: Distributed Modeling Academy
Location: Kiev, Ukraine
Dimitri Grinkevich's Projects
practical-machine-learning
Data and examples that support the material in the book "Praktyczne uczenie maszynowe"
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
practical-matlab
Source Code for 'Practical MATLAB' by Irfan Turk
practical-matlab-deep-learning
Source Code for 'Practical MATLAB Deep Learning' by Michael Paluszek and Stephanie Thomas
practical-matlab-modeling-w-simulink
Source Code for 'Practical MATLAB Modeling with Simulink' by Sulaymon L. Eshkabilov
practical-ml-image-processing
Source Code for 'Practical Machine Learning and Image Processing' by Himanshu Singh
practical-ml-w-python
Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
practical-python-ai-projects
Source code for 'Practical Python AI Projects' by Serge Kruk
practical-r-4
Source Code for 'Practical R 4' by Jon Westfall
practical-sql
Code and Data for the book "Practical SQL" by Anthony DeBarros, published by No Starch Press (2018).
practical-statistics-for-data-scientists
Code repository for O'Reilly book
practical-system-programming-c
Source Code for 'Practical System Programming with C' by Sri Manikanta Palakollu
practical-video-game-bots
Source Code for 'Practical Video Game Bots' by Ilya Shpigor
practical-web-scraping-for-data-science
Source code for 'Practical Web Scraping for Data Science' by Seppe vanden Broucke and Bart Baesens
practical-webdev-haskell
Source Code for 'Practical Web Development with Haskell' by Ecky Putrady
practical_feature_engineering_guide
A detailed guide to feature engineering for machine learning in Python
practical_machine_learning
Practical Machine Learning, eigth course of the data science specialization from Johns Hopkins University on Coursera
practicalai
A practical approach to learning machine learning.
practicaldataanalysiscookbook
A collection of data and codes to supplement the practicalDataAnalysisCookbook (in preparation)
practicalmachinelearningwithrandpython
Practical Machine Learning With R and Python
practicalmonitoring
Code from Practical Monitoring
practices-of-the-python-pro
Examples and exercises for Practices of the Python Pro from Manning Books 🐍📘
pragha
Pragha is a Lightweight Music Player for GNU/Linux.
praise
Praise useRs when they have done something good, or when they just need it
pre-commit
A framework for managing and maintaining multi-language pre-commit hooks.
pre-commit-terraform
pre-commit git hook which formats Terraform configurations (tf & tfvars files)
predict-home-value-using-watson-machine-learning-and-db2
Predict home value using IBM Watson machine learning and Db2 database.
predicting-school-ratings
Predicting school rating with census income data
predicting-wine-quality
Testing Several Classification Techniques to predict whether a wine is good quality or not
prediction-of-customer-propensity-to-churn
The aim of this project is to build a predictive model that will help a telecom company in devising targeted strategies for retention of customers.
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