fred-navruzov
A guy, keen on Python, Data Science, Machine Learning and AI. Ex-Data Science Lead at Competera and Rozetka. ML advisor
@VictoriaMetrics Kiev, Ukraine
Pinned Repositories
angel.co-companies-list-scraping
calmap
Calendar heatmaps from Pandas time series data
chunkdot
Calculate the K most similar items for a large number of items (~1Million) by partitioning the item matrix representation an using Numba.
featuretools-workshop
Public repository made for Automated Feature Engineering workshop (Summer Data Conf, Odessa, 2018-07-21)
featuretools-workshop-docker
Docker image specification for correspondent workshop
gem-opt
hearthstone-ladder-simulation
images-classification-caltech
musical-scale-visualizer
Pet-project, written for fun in a form of .ipynb notebook. Draws notes of particular scale on keybed
Project1.-Sentiment-Analysis
Ukrainian Data Science Club first project. Sentiment Analysis
fred-navruzov's Repositories
fred-navruzov/featuretools-workshop
Public repository made for Automated Feature Engineering workshop (Summer Data Conf, Odessa, 2018-07-21)
fred-navruzov/musical-scale-visualizer
Pet-project, written for fun in a form of .ipynb notebook. Draws notes of particular scale on keybed
fred-navruzov/hearthstone-ladder-simulation
fred-navruzov/gem-opt
fred-navruzov/Project1.-Sentiment-Analysis
Ukrainian Data Science Club first project. Sentiment Analysis
fred-navruzov/angel.co-companies-list-scraping
fred-navruzov/calmap
Calendar heatmaps from Pandas time series data
fred-navruzov/chunkdot
Calculate the K most similar items for a large number of items (~1Million) by partitioning the item matrix representation an using Numba.
fred-navruzov/featuretools-workshop-docker
Docker image specification for correspondent workshop
fred-navruzov/images-classification-caltech
fred-navruzov/machine_learning_projector
https://prjctr.com/course/machine-learning-basics
fred-navruzov/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow