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Name: Alexander
Type: User
Bio: I am Interested in computer modeling of physical processes (Modelica, AnyLogic), data science, machine learning, neural networks, programming in python.
Location: Rostov region, Russia
Name: Alexander
Type: User
Bio: I am Interested in computer modeling of physical processes (Modelica, AnyLogic), data science, machine learning, neural networks, programming in python.
Location: Rostov region, Russia
Codes related to activities on AV including articles, hackathons and discussions.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
Repo for course on Coursera
Repository for project on coursera "The Data Scientist’s Toolbox"
The Leek group guide to data sharing
Plotting Assignment 1 for Exploratory Data Analysis
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Notebooks and code for the book "Introduction to Machine Learning with Python"
Scripts for HarvardX courses: PH525x
Levenberg-Manquardt and another algorithms for cost function optimization
ноутбуки по курсу на Stepik
Lecture notes and code for Machine Learning practical course on CMC MSU
Assignment ML Stanford-Coursera-Andrew Ng
OpenDataScience Machine Learning course. Launches on Feb, 5 both in English and Russian
The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
Convert Pascal VOC Format to YOLO Format.
This repository is containing files to Course Project "WriteUp" from Coursera course "Practical Machine Learning".
Repository for Programming Assignment 2 for R Programming on Coursera
Practice notebooks for NumPy, Pandas, matplotlib, basic machine learning etc.
Peer Assessment 1 for Reproducible Research
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
:books: Введение в машинное обучение
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.