Andrii's repositories
Demand_Forecast
Demand forecast task with different approach and frameworks
Marketing-automation
Marketing automation with data science
weather-forecast
Weather forecasting with diffrent data science frameworks
Distributing-learning-for-sentiment-analysis-with-Pyspark
Distributing learning for sentiment analysis with Pyspark and Keras
mlcourse.ai-notebook
Open Machine Learning Course mlcourse.ai
Algorithms_And_Data_Structures
Algorithms_And_Data_Structures_Python
Autoencoders-in-Keras
"Autoencoding" is a data compression algorithm where the compression and decompression functions are 1) data-specific, 2) lossy, and 3) learned automatically from examples rather than engineered by a human. Additionally, in almost all contexts where the term "autoencoder" is used, the compression and decompression functions are implemented with neural networks.
Github-Repository-Analysis
Get data from Github with Github API and create analytics database
Image-clustering
Example of image clustering on Deep fashion dataset
Machine-learning-applications-using-R-and-Python-in-SQL-Server-2017
Machine learning applications using R and Python in SQL Server 2017
Machine-learning-operationalization
Machine learning operationalization
Recognising-Traffic-Signs-Tensorflow-model-Deploy
Python Project – Traffic Signs Recognition
Recommender-system-with-machine-and-deep-learning
How to build recommender system with deep and machine learning
Style_transfer
Style transfer with python and tensorflow