Aleksei Mikhalev's Projects
CheatSheet for 18.6501x
https://harvard-iacs.github.io/2019-CS109A/
40 Algorithms Every Programmer Should Know, published by Packt
The core course I run, which my team and I developed.
Advanced Python Programming, Second Edition, published by Packt
Roadmap to becoming an Artificial Intelligence Expert in 2020
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.
List of awesome CSS frameworks
A curated list of awesome Dash (plotly) resources
A curated list of awesome things related to FastAPI
A curated list of gradient boosting research papers with implementations.
A curated list of Microservice Architecture related principles and technologies.
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
A curated list of awesome Python frameworks, libraries, software and resources
🔰 Шпаргалка по бэкенду с картинками и не только
Code for BCG Gamma technical challenge
Classification of Breast Cancer diagnosis Using Support Vector Machines
Building Data Science Applications with FastAPI, Published by Packt
Building Python Microservices with FastAPI, published by Packt
Download full sized images returned from bing image search
Camelot: PDF Table Extraction for Humans
A Code-First Introduction to NLP course
Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)
Customer segmentation example project
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
Portfolio of projects related to Data Science
Template for a data science project