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Machine Learning and Computer Vision Engineer - Technical Interview Questions
Data science interview questions and answers
Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found).
It counts how many times your GitHub profile has been viewed. Free cloud micro-service.
Answers to 120 commonly asked data science interview questions.
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to s…
📚 Freely available programming books
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
Exercises for the Deep Learning textbook at www.deeplearningbook.org
A repo for data science related questions and answers
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
😎 A curated list of awesome MLOps tools
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Always know what to expect from your data.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Awesome free machine learning and AI courses with video lectures.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
A curated list of awesome Deep Learning tutorials, projects and communities.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Preparing for machine learning interviews
Easily migrate your codebase from one framework or language to another.
This repository is to prepare for Machine Learning interviews.
WIP: Roadmap to becoming a machine learning engineer in 2020
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
A curated list of awesome Machine Learning frameworks, libraries and software.