Thinking about learning Python 🖥

👩‍💻 Coding in 2024
https://www.youtube.com/shorts/hBgTsN9PVtE


☄️ Where to use Python in Real World
https://www.youtube.com/shorts/gD2YXjMMZs8


Why Python Rules the Coding World! 🐍👑
https://www.youtube.com/shorts/oNDmMSO6ZK0

http://t.me/codeprogrammer ✅

🖥 python pattern notes

💬 #python #notes

http://t.me/codeprogrammer ✅

🖥 How to hide secret text inside an image using Python?

Nothing complicated, you just need the Stegano library:

# pip install stegano

from stegano import lsb
secret = lsb.hide('image.png', 'very secret text')
secret.save('secret_image.png')

print(lsb.reveal('secret_image.png'))

A quick question: how is this ability to store text in a picture implemented?
How easy is it to detect such text hiding?

🖥 GitHub

http://t.me/codeprogrammer ⭐️⭐️

Initialization can have a significant impact on convergence in training deep neural networks.

Read our guide to learn how to initialize neural network parameters effectively:
https://www.deeplearning.ai/ai-notes/initialization/index.html

http://t.me/codeprogrammer ❤️

Football Analysis in Python with Yolov8 & OpenCV

Video: https://youtu.be/yJWAtr3kvPU?si=Ix9t3QiXR3jwbog7

Deep learning web application for football analysis with Streamlit.

Used material links:
Project repo: https://github.com/Hmzbo/Football-Analytics-with-Deep-Learning-and-Computer-Vision

Custom dataset tips: https://docs.ultralytics.com/yolov5/tutorials/tips_for_best_training_results/

Annotation tools:
labelme: https://github.com/wkentaro/labelme

cvat: https://github.com/opencv/cvat

http://t.me/codeprogrammer 💬

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

http://t.me/codeprogrammer ⭐

Take Screenshots using Python

#python

http://t.me/codeprogrammer ⭐️

Support Vector Machine Notes

#SVM #machineLearning #AI #python

http://t.me/codeprogrammer ⭐️

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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

http://t.me/codeprogrammer ⭐️

🏳️‍🌈 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

http://t.me/codeprogrammer ⭐️

☕️ Coursera Membership Free

📝 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

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📎 Link: L&T SQL Interview Question

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📎 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

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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

http://t.me/codeprogrammer ⭐️

☕️ Coursera Membership Free

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