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Name: Michail Nazarov

Type: User

Company: MIPT student

Bio: Learning Data Science

Location: Saint-Petersburg

Hi there, I'm Michail Nazarov 👋

My education 🎓

🎓 Moscow Institute of Physics and Technology (MIPT) at the moment
- Master's degree: 01.04.02 - Applied Mathematics and Computer science
- (Data sciences)
🎓 National Open Institute
- Bachelor's degree: 21.03.03 - Geodesy and remote sensing
- (Spatial data infrastructure)
🎓 Moscow State University of Economics Statistics and Informatics (MESI)
- Specialist degree: 080507 - Organization management
- (Сorporate management)

My Competencies 💡

Tools 💻:
- Python
- SQL
- Excel
Hard Skills 📈:
- Data Preprocessing and Data Analysis
- Machine Learning and Deep Learning
- Relational Databases
Soft skills 👔:
- Learning
- Team player
- Management
- Self-development

Michail Nazarov's Projects

answers

ml course held in MIPT

birds-detection

Детектирование птиц по фотографиям

birdsdetectionbot

Telegram-bot for birds detection

clarityanalyzer

Hackathon MIPT 2024

cs231n.github.io

Public facing notes page

data-analysis

data-science-interviews

Data science interview questions and answers

data-storage-course

Database creation and normalization

deep-dive-in-deep-leaning

Курс для быстрого погружения в мир машинного обучения / Course for fast getting into deep learning

deep_learning_course_2.0

Репозиторий курса, версия 2

deep_learning_masha_book

deep_learning_pytorch

deep learning with pytorch (russian)

diploma-mipt

docker_course

Код из лекций бесплатного курса по докеру

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

hh-analysis

Preprocessing and analysis of the resume database from hh.ru

homework-2

Программа, которая угадывает число за минимальное число попыток

lectures-notes-mipt

Конспекты лекций магистратуры "Науки о данных" МФТИ

leetcode

All Python solutions for Leetcode

matstat-teorver-course

Курс по матстату для онлайна :)

ml-course

Open Machine Learning course

ml_2023_2024

ML course HSE

nazarovmichail

nn-cv

nn-cv-presentations

pdf2json

practical_dl

DL course co-developed by YSDA, HSE and Skoltech

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

pytorch-tutorial

Build your neural network easy and fast

report-generation

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