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Stepico Game
- Kiev
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- @mykrass
Starred repositories
This repo is a code demo that implements a custom Customer Retention Analysis class with a number of helpful methods/functions to generate customer churn insights frequently used for marketing anal…
Stocks analysis using python packages
Using Temporal Fusion Transformer for Book sales forecasting use case. We use the model implementation available in Pytorch Forecasting library.
Examples and guides for using the OpenAI API
Mykrass / TFT_darts
Forked from h3ik0th/TFT_dartsprobabilistic forecasting with Temporal Fusion Transformer
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
Convert Machine Learning Code Between Frameworks
Python Darts deep forecasting models
A python library for user-friendly forecasting and anomaly detection on time series.
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
Various methods for generating synthetic data for data science and ML
Repository containing notebooks of my posts on Medium
The repository contains examples for the AutoML framework FEDOT
What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pare…
Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with c…
Mykrass / pytorch-ts
Forked from gautham20/pytorch-tsTutorials on using encoder decoder architecture for time series forecasting
Variational Recurrent Autoencoder for timeseries clustering in pytorch
Variational Recurrent Autoencoder for timeseries clustering in pytorch
Automatic extraction of relevant features from time series:
create cohort visualizations for a subscription business
Tutorials on using encoder decoder architecture for time series forecasting