🖥 Free Courses and Guides That Will Teach You How to Master AI:

📂 Elements of AI
https://elementsofai.com

📂 Learn Prompting
https://learnprompting.org

📂 Machine Learning
https://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning

📂 AI for everyone
https://coursera.org/learn/ai-for-everyone

📂 500+ AI Chatbot Prompt Templates
https://theveller.gumroad.com/l/ChatGPTPromptTemplates-byTheVeller

📂 Prompt Engineering
https://youtu.be/_ZvnD73m40o

📂 ChatGPT Prompt Engineering for Developers
https://deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers

📂 Google — AI for Anyone
https://edx.org/learn/artificial-intelligence/google-google-ai-for-anyone

📂 Microsoft — AI For Beginners
https://microsoft.github.io/AI-For-Beginners

📂 IBM — AI for Everyone: Master the Basics
https://edx.org/learn/artificial-intelligence/ibm-ai-for-everyone-master-the-basics

📂 Google — Introduction to Generative AI
https://cloudskillsboost.google/journeys/118

📂 DeepLearning — Finetuning LLMs
https://deeplearning.ai/short-courses/finetuning-large-language-models

https://t.me/CodeProgrammer

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🖥 Get domain name information using Python

$pip install whois

$pip install whois

>>> import whois
>>> domain = whois.query('google.com')

>>> print(domain.dict)
{
'expiration_date': datetime.datetime(2020, 9, 14, 0, 0),
'last_updated': datetime.datetime(2011, 7, 20, 0, 0),
'registrar': 'MARKMONITOR INC.',
'name': 'google.com',
'creation_date': datetime.datetime(1997, 9, 15, 0, 0)
}

>>> print(domain.name)
google.com

>>> print(domain.expiration_date)
2024-09-14 00:00:00

🌟 Github: https://github.com/DannyCork/python-whois

https://t.me/CodeProgrammer

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🔥 Free Certification Courses from Google to try in 2023.

1. Basics of Machine Learning
https://grow.google/intl/en_in/

2. Machine Learning Crash Course
https://coursya.com/product/machine-learning-crash-course

3. Project Execution: Running the Project
https://coursera.org/learn/project-execution-google

4. Foundations of Project Management
https://coursera.org/learn/project-management-foundations

5. Project Initiation: Starting a Successful Project
https://coursera.org/learn/project-initiation-google

6. Project Planning: Putting It All Together
https://coursera.org/learn/project-planning-google

7. Google Analytics for Power Users
https://coursya.com/product/google-analytics-certification-coursya

8. Fundamentals of digital marketing
https://skillshop.exceedlms.com/student/collection/654330-digital-marketing?locale=en-GB

9. Python Basics for Data Analysis
https://coursya.com/product/learn-python-basics-for-data-analysis

10. Data Science Foundations
https://grow.google/intl/en_in/

11. Advanced Google Analytics
https://coursera.org/professional-certificates/google-data-analytics

12. Google Cloud Computing Foundations:
https://cloudskillsboost.google/course_templates/153

13. Data, ML, and AI in Google Cloud
https://coursya.com/product/google-cloud-computing-foundations-data-ml-and-ai-in-google-cloud-google-cloud-skills-boost

14. Agile Project Management
https://coursera.org/learn/agile-project-management

15. Google Project Management
https://coursera.org/professional-certificates/google-project-management

https://t.me/CodeProgrammer

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We have just launched a fundraising campaign for the channel to ensure continued quality service

We upload the book via Internet data, and this is expensive for us

Participate and contribute to the donation campaign until the target amount is reached

Members who will contribute to the donation campaign will receive a free subscription to the paid channel and a LinkedIn grant

Donate link:
https://boosty.to/datascienceteam/donate

https://t.me/DataScienceM

Important channel

🔥Free Certification Courses from Microsoft to try in 2023:

1. Get started with Microsoft data analytics
https://learn.microsoft.com/en-us/training/paths/data-analytics-microsoft

2. Prepare data for analysis with Power BI
https://learn.microsoft.com/en-us/training/paths/prepare-data-power-bi

3. Model data with Power BI
https://learn.microsoft.com/en-us/training/paths/model-data-power-bi

4. Build Power BI visuals and reports
https://learn.microsoft.com/en-us/training/paths/build-power-bi-visuals-reports

5. Data analysis in Power BI
https://coursya.com/product/microsoft-power-bi-data-analyst

6. Visualize data in Power BI
https://coursya.com/product/build-power-bi-visuals-and-reports-training

7. Model data in Power BI
https://coursya.com/product/power-bi-for-beginners-designing-a-data-model

8. Prepare data for analysis
https://coursya.com/product/prepare-data-for-analysis-training

9. Get started with Microsoft data analytics
https://coursya.com/product/get-started-with-microsoft-data-analytics-training

10. Microsoft Certified: Power BI Data Analyst Associate
https://coursya.com/product/microsoft-certified-power-bi-data-analyst-associate-certifications

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Basic and Full-text Search with Django and Postgres

https://testdriven.io/blog/django-search/

1⃣ Set up basic search functionality with Q objects

2⃣ Add full-text search with Postgres

3⃣ Sort full-text search results by relevance using stemming, ranking, and weighting

https://t.me/CodeProgrammer

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🔥 Data science path without complexity (Data Science Roadmap):

👨‍💻 Programming:
Python 🐍
R 📊
Java ☕
SQL 📂

📊 Mathematical foundations:
Statistics 📈
Linear algebra 🔢
Differentiation and integration
Classification mathematics 📐

📈 Data analysis:
Feature Engineering 🛠️
Data Wrangling 📑
Interpretative data analysis (EDA) 🔍

🤖 Machine Learning:
Classification 🏷️
Regression 📈
Reinforcement Learning 🎮
Deep Learning 🧠
Dimensionality Reduction 🔍
Clustering 🧩

🕸️ Collect data from the web:
Beautiful Soup 🍲
Scrapy 🕷️
URLLIB 🌐

📊 Graphical visualization:
Tableau 🧮
D3.js 🌐
Scatter Plot 📈
Power BI 📉
ggplot2 📊

🚀 Get ready to explore the depths of this amazing field with these amazing, free educational resources collected in this repository:
https://github.com/Moataz-Elmesmary/Data-Science-Roadmap

https://t.me/CodeProgrammer

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Make a 100 reactions to this great man

Build a Code Image Generator With Python

In this step-by-step tutorial, you’ll learn how to:

⭐️ Set up and run a Flask project
⭐️ Connect and style Jinja templates
⭐️ Use Playwright to create images
⭐️ Beautify code with Pygments
⭐️ Leverage sessions to save browser states
⭐️ Enhance the user experience with JavaScript

https://realpython.com/python-code-image-generator/

👨🏻‍💻 Data science researcher Keith McNulty has published the complete content of the R for People Analytics course online for free . The content of this course includes:

1) All textbooks + slides during the course
2) Interactive exercises using RStudio Cloud
3) Course project datasets

┌ 🏷 RStudio conf 2022
└ 📚 R for People Analytics

This course contains resources that mainly focus on R. For a deeper understanding of working with R for data analysts, McNulty has made two of his textbooks free :

┌ 🏷 Two FREE online textbooks R
├ 📘 Regression Modeling with R
└ 📕 Graphs & Networks with R

https://t.me/CodeProgrammer

+160 Data Science Projects You Can Try with Python

+160 Data Science Projects solved & explained with Python

┌ 🏷 Data Science Projects with Python
└ 📊 +160 Data Science Projects

✅ https://t.me/CodeProgrammer

🤖 Machine Learning Tutorials Repository

1. Python
2. Computer Vision: Techniques, algorithms
3. NLP
4. Matplotlib
5. NumPy
6. Pandas
7. MLOps
8. LLMs
9. PyTorch/TensorFlow

git clone https://github.com/patchy631/machine-learning

🔗 GitHub: https://github.com/patchy631/machine-learning/tree/main

⭐️ https://t.me/DataScienceT

✅ The best sources for downloading datasets for free

┌ 🏷 Real world data
├ ◼️ Data.gov
├ ◻️ Kaggle
├ ◼️ Dataset Search
├ ◻️ DataHub
├ ◼️ Earth Data
└ ◻️ WHO data repository

⭐️ https://t.me/CodeProgrammer

☑️ IBM Free course: Python Basics for Data Science

Course Link: https://www.edx.org/learn/python/ibm-python-basics-for-data-science

⭐️ https://t.me/CodeProgrammer

🖥 Extracting Tables from a PDF

Code: https://github.com/jsvine/pdfplumber

⭐️ https://t.me/CodeProgrammer

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