Posted in category machine learning, data science, web development with tags collection.

This is a series of “my choice” repositories on Github. They are mainly in Machine Learning, Data Science and Web Development. This article is being frequently updated.

  1. homemade-machine-learning – If you don’t wanna apply tools and understand nothing, you can write “again” from scratch with this repository.
  2. interviews – Everything you need to know to get the job.
  3. nodebestpractices – The largest Node.js best practices list.
  4. javascript-algorithms – Algorithms and data structures implemented in JavaScript with explanations and links to further readings.
  5. faker – Faker is a Python package that generates fake data for you.
  6. tech-interview-handbook – Algorithms study materials, behavioral content and tips for rocking your coding interview.
  7. awesome-interview-questions – A curated awesome list of lists of interview questions!
  8. awesome – Awesome lists about all kinds of interesting topics.
  9. 100-Days-Of-ML-Code – Learn ML day by day.
  10. awesome-datascience – An awesome Data Science repository to learn and apply for real world problems.