The LLM Scientist Roadmap

Ready to become an LLM Scientist? Follow this roadmap to unlock your potential and master the art of Large Language Models.

#LLM #DataScience #Roadmap

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Take Screenshots using Python

#python

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Support Vector Machine Notes

#SVM #machineLearning #AI #python

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Three good training sets to start working in the field of data science:

- Machine Learning for Beginners

- Data Science for Beginners

- Artificial Intelligence for Beginners

☕️ Coursera Membership Free

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🏳️‍🌈 5 free courses to master Python for data science

👨🏻‍💻 If you want to enter the data world, learning Python as the most important language in this field is essential! But there are many things to learn in Python: from Python basics to data analysis, machine learning and coding with Python. So how can you find the best resources to learn all of this?

1️⃣ Python course for beginners

⏪ This course is for beginners and in less than an hour, it will teach you the basics of Python programming such as variables, loops and lists.

📎 Link: Course Homepage

2️⃣ Python programming course (intermediate level)

⏪ Now that you have learned the basics, you can start this programming course. This course covers more advanced features of Python, such as lambda functions, generators, exception handling, and multithreading.

📎 Link: Course Homepage

3️⃣ Data analysis course with Python

⏪ This freeCodeCamp course teaches you NumPy, Pandas, Matplotlib and Seaborn libraries and includes data analysis projects.

📎 Link: Course Homepage

4️⃣ Machine learning course with Python and scikit-learn

⏪ This course teaches you machine learning algorithms with scikit-learn and how to design and implement machine learning projects.

📎 Link: Course Homepage

5️⃣ Data structure and algorithms course in Python

⏪ This free course teaches you the basic concepts of data structures and algorithms such as binary search, search trees, and sorting algorithms.

📎 Link: Course Homepage

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📝 List of SQL Data Science Interview Questions
✅ In famous companies in the world

👨🏻‍💻 If you are preparing for a data science job interview and are looking for questions in the SQL field, this list of SQL questions collected from large and famous companies can help you.👇

1️⃣ Amazon company SQL interview question

📎 Link: Amazon SQL Interview

2️⃣ Airbnb SQL interview question

📎 Link: Airbnb SQL Interview Question

3️⃣ Adobe SQL Interview Question

📎 Link: Adobe SQL Interview Question

4️⃣ Spotify SQL Interview Question

📎 Link: Spotify SQL Interview Question

5️⃣ L&T Company SQL Interview Question

📎 Link: L&T SQL Interview Question

6️⃣ Ameriprise LLC SQL query

📎 Link: Ameriprise LLC SQL Interview

7️⃣ SQL query from Tiger Analytics

📎 Link: Tiger Analytics SQL Interview

8️⃣ PWC SQL Interview Question

📎 Link: PWC SQL Interview Question

9️⃣ Honeywell SQL Interview Question

📎 Link: Honeywell SQL Interview

1️⃣ Angel One Company SQL Interview Question

📎 Link: Angel One SQL Interview

1️⃣ SQL interview questions of FAANG companies

📎 Link: FAANG SQL Interview Question

1️⃣ Accenture SQL Interview Question

📎 Link: Accenture SQL Interview

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🙃 Prediction of the winning country of the 2024 Olympics

👨🏻‍💻 Our project is designed to predict the winner of the 2024 Olympics and use historical data to train a machine learning model.

📄 In this project, we train a machine learning model based on historical data by using the number of medals of countries participating in the 2021 Tokyo Olympics. This dataset includes information such as the number of medals, demographic information of countries and economic indicators. Then, based on the predicted medals, we will make a ranking to determine the winning country.

🖥 From the dataset and coding to analysis and project results, all are available in the following GitHub repo.👇

┌ 💸 Predictive Olympic Winner 2024
├ 📃 Report
└ 🐱 GitHub-Repos

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In case you missed it, we just launched "Pretraining LLMs!"

In this course, you’ll gain in-depth knowledge of the steps to pretrain an LLM, encompassing all the steps, from data preparation to performance assessment.

Enroll for free today: https://www.deeplearning.ai/short-courses/pretraining-llms/

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☕️ Coursera Membership Free

💬 72 hours of free access
💻 To all courses on the 365DataScience site
🔻 Free access to data science courses
✅ Without any restrictions!
📆 From July 19 to July 22

👨🏻‍💻 365DataScience website has created free and unlimited access to data science courses for 72 hours from November 19 , without any restrictions and without the need for a credit card!💯

⬅️ From today! You have the opportunity to access all the following for free by creating an account with an email.

🔹 81 training courses
🔹 672 practical and applied exercises
🔹 Over 260 hours of instructional videos

🚀 By taking these courses, you can experience a completely organized roadmap, test your knowledge with practical exercises, work on real projects, and finally receive fully valid certificates at no cost.


🔸 Course access link: 👇

┌ 💸 Free Access July 19 – July 22
└ 🎬 +81 Data & AI Courses 100% FREE

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Public APIs

A collective list of API free

GitHub Repo:
https://github.com/public-apis/public-apis

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