CODEPROGRAMMER Telegram 3319
🐱 Top 10 GitHub repos
To succeed in data science interviews


1️⃣ ML Interviews repo

Including machine learning interview questions from basic topics to complex topics such as neural networks and reinforcement learning.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

2️⃣ Repo 500AI Projects with Code

500 artificial intelligence, machine learning, deep learning, CV, NLP projects with code.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

3️⃣ 100 Days of ML Code repo

A hundred-day program for learning and practicing machine learning coding.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

4️⃣ Awesome Data Science repo

This repository is a curated list of great data science resources including books, software, and tools.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

5️⃣ Data Science for Beginners repo

This repository from Microsoft has a 10-week course with 20 lessons for beginners. Each lesson includes videos, quizzes, challenges and more.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

6️⃣ Data Science Masters repo

This repository provides a comprehensive, open-source curriculum to prepare students for entry-level roles in data science, at no cost!

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

7️⃣ Awesome AI repo

A comprehensive collection of artificial intelligence learning resources including articles, books, courses and related tools.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

8️⃣ Awesome Public Datasets repo

Multiple examples of machine learning algorithms in Python with interactive Jupyter demos and mathematical explanation.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

9️⃣ Awesome Public Datasets repo

This repository provides a collection of data science job interview questions and answers that are great for preparation.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

1️⃣ Data Science Collected Resources repository

A list of the best data science resources including books, articles, and practical tools for learning and developing data science skills.

🔗 Link: GitHub-Repos

📂 Tags: #DataScience #Python #ML #AI

http://www.tgoop.com/codeprogrammer ⭐️

The opportunity is not too late, register before it is too late 😮
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🐱 Top 10 GitHub repos
To succeed in data science interviews


1️⃣ ML Interviews repo

Including machine learning interview questions from basic topics to complex topics such as neural networks and reinforcement learning.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

2️⃣ Repo 500AI Projects with Code

500 artificial intelligence, machine learning, deep learning, CV, NLP projects with code.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

3️⃣ 100 Days of ML Code repo

A hundred-day program for learning and practicing machine learning coding.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

4️⃣ Awesome Data Science repo

This repository is a curated list of great data science resources including books, software, and tools.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

5️⃣ Data Science for Beginners repo

This repository from Microsoft has a 10-week course with 20 lessons for beginners. Each lesson includes videos, quizzes, challenges and more.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

6️⃣ Data Science Masters repo

This repository provides a comprehensive, open-source curriculum to prepare students for entry-level roles in data science, at no cost!

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

7️⃣ Awesome AI repo

A comprehensive collection of artificial intelligence learning resources including articles, books, courses and related tools.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

8️⃣ Awesome Public Datasets repo

Multiple examples of machine learning algorithms in Python with interactive Jupyter demos and mathematical explanation.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

9️⃣ Awesome Public Datasets repo

This repository provides a collection of data science job interview questions and answers that are great for preparation.

🔗 Link: GitHub-Repos
✂️✂️✂️✂️✂️✂️

1️⃣ Data Science Collected Resources repository

A list of the best data science resources including books, articles, and practical tools for learning and developing data science skills.

🔗 Link: GitHub-Repos

📂 Tags: #DataScience #Python #ML #AI

http://www.tgoop.com/codeprogrammer ⭐️

The opportunity is not too late, register before it is too late 😮

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