Felix Doktorman's Projects
š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Naya Classification Project
Code snippets from Corey Schafer
Repository for Final Project
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Versatile parallel programming with task scheduling
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Config files for my GitHub profile.
Visualizer for pandas data structures
Example code for the git remote workshop
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Hebrew Machine and Deep Learning Tutorials
Jupyter Notebooks for AI@CUMC's Python Workshops
Notebooks and code for the book "Introduction to Machine Learning with Python"
EDA (Exploratory Data Analysis) Project as part of Practical Data Science Course
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
a notebook with polars and parquet-related manipulations
VM Setup stuff for http://bit.ly/22giU4y
Tools for Data Science Coursera
My WorldClock