⭐⭐⭐ Advance Level Data science Projects ⭐⭐⭐
1) Identify your Digits Dataset : https://www.kaggle.com/c/digit-recognizer/data
2) Recommendation Engine : https://cseweb.ucsd.edu/~jmcauley/datasets.html
3) Visual QA : https://visualqa.org/download.html
4) Vox Celebrity : http://www.robots.ox.ac.uk/~vgg/data/voxceleb/
5) Breast cancer classification : https://www.kaggle.com/martinab/breast-cancer-classification-wisconsin-dataset
6) Traffic signals : http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset
7) Image caption generator : https://academictorrents.com/details/9dea07ba660a722ae1008c4c8afdd303b6f6e53b
1) Identify your Digits Dataset : https://www.kaggle.com/c/digit-recognizer/data
2) Recommendation Engine : https://cseweb.ucsd.edu/~jmcauley/datasets.html
3) Visual QA : https://visualqa.org/download.html
4) Vox Celebrity : http://www.robots.ox.ac.uk/~vgg/data/voxceleb/
5) Breast cancer classification : https://www.kaggle.com/martinab/breast-cancer-classification-wisconsin-dataset
6) Traffic signals : http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset
7) Image caption generator : https://academictorrents.com/details/9dea07ba660a722ae1008c4c8afdd303b6f6e53b
Kaggle
Digit Recognizer
Learn computer vision fundamentals with the famous MNIST data
❤1
Forwarded from Tech Nerd (Tech Nerd)
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A lot of folks on X have been asking how I’m shipping every day… this is how I get ideas btw 👉👈
@selfmadecoder
@selfmadecoder
❤1
Harvard University offers a ton of FREE online courses.
From Computer Science to Artificial Intelligence.
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10. Introduction to Data Science with Python
Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.
Check here 👇
https://pll.harvard.edu/course/introduction-data-science-python?delta=0
From Computer Science to Artificial Intelligence.
Here are 10 FREE courses you don't want to miss
1. Introduction to Computer Science
An introduction to the intellectual enterprises of computer science and the art of programming.
Check here 👇
https://pll.harvard.edu/course/cs50-introduction-computer-science?delta=0
2. Web Programming with Python and JavaScript
This course takes you deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.
Check here 👇
https://pll.harvard.edu/course/cs50s-web-programming-python-and-javascript?delta=0
3. Introduction to Programming with Scratch
A gentle introduction to programming that prepares you for subsequent courses in coding.
Check here 👇
https://pll.harvard.edu/course/cs50s-introduction-programming-scratch?delta=0
4. Introduction to Programming with Python
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.
Check here 👇
https://edx.org/course/cs50s-introduction-to-programming-with-python
5. Understanding Technology
This is CS50’s introduction to technology for students who don’t (yet!) consider themselves computer persons.
Check here 👇
https://pll.harvard.edu/course/cs50s-understanding-technology-0?delta=0
6. Introduction to Artificial Intelligence with Python
Learn to use machine learning in Python in this introductory course on artificial intelligence.
Check here 👇
https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python?delta=0
7. Introduction to Game Development
Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.
Check here 👇
https://pll.harvard.edu/course/cs50s-introduction-game-development?delta=0
8. CS50's Computer Science for Business Professionals
This is CS50’s introduction to computer science for business professionals.
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9. Mobile App Development with React Native
Learn about mobile app development with React Native, a popular framework maintained by Facebook that enables cross-platform native apps using JavaScript without Java or Swift.
Check here 👇
https://pll.harvard.edu/course/cs50s-mobile-app-development-react-native?delta=0
10. Introduction to Data Science with Python
Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.
Check here 👇
https://pll.harvard.edu/course/introduction-data-science-python?delta=0
Harvard University
CS50: Introduction to Computer Science | Harvard University
An introduction to the intellectual enterprises of computer science and the art of programming.
❤1
Artificial Neural Networks with Java - 2019.pdf
12.1 MB
Artificial Neural Networks with Java
Igor Livshin, 2019
Igor Livshin, 2019
❤1
Some helpful Data science projects for beginners
https://www.kaggle.com/c/house-prices-advanced-regression-techniques
https://www.kaggle.com/c/digit-recognizer
https://www.kaggle.com/c/titanic
BEST RESOURCES TO LEARN DATA SCIENCE AND MACHINE LEARNING FOR FREE
https://developers.google.com/machine-learning/crash-course
https://www.kaggle.com/learn/overview
https://forums.fast.ai/t/recommended-python-learning-resources/26888
https://www.fast.ai/
https://imp.i115008.net/JrBjZR
https://ern.li/OP/1qvkxbfaxqj
ENJOY LEARNING 👍👍
https://www.kaggle.com/c/house-prices-advanced-regression-techniques
https://www.kaggle.com/c/digit-recognizer
https://www.kaggle.com/c/titanic
BEST RESOURCES TO LEARN DATA SCIENCE AND MACHINE LEARNING FOR FREE
https://developers.google.com/machine-learning/crash-course
https://www.kaggle.com/learn/overview
https://forums.fast.ai/t/recommended-python-learning-resources/26888
https://www.fast.ai/
https://imp.i115008.net/JrBjZR
https://ern.li/OP/1qvkxbfaxqj
ENJOY LEARNING 👍👍
❤1
Machine Learning in Microservices - 2023.pdf
12.4 MB
Machine Learning in Microservices
Mohamed Abouahmed, 2023
Mohamed Abouahmed, 2023
❤2👍1
Forwarded from EthioLink
Software Engineer
Company: Tholons Inc.
“Software Developer – Python & AI Agent Development (Entry-Level). We are seeking a highly skilled Python Developer specializing in AI agent architecture to drive immediate innovation. You will lead...
”
- Experience level: Entry-Level
Source: josad_software
#software #engineer #AI #Python #LinkedIn
Company: Tholons Inc.
“Software Developer – Python & AI Agent Development (Entry-Level). We are seeking a highly skilled Python Developer specializing in AI agent architecture to drive immediate innovation. You will lead...
”
- Experience level: Entry-Level
Source: josad_software
#software #engineer #AI #Python #LinkedIn
👍4
Get 6 months of Claude Code for free 🚀
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Anthropic has launched a limited offer where you can access Claude Max, worth $1200, at no cost.
You'll get:
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✅ Faster responses
✅ Access to the most advanced Claude models
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🛠 DAILY DEV COMMANDS CHEAT SHEET
# ============================================
# Start / Stop
# ============================================
docker compose up # Start all services (foreground)
docker compose up -d # Start in background
docker compose down # Stop all services
docker compose down -v # Stop + delete volumes (fresh DB)
docker compose restart web # Restart specific service
# ============================================
# Logs
# ============================================
docker compose logs -f web # Follow web logs
docker compose logs -f # Follow all logs
docker compose logs --tail 100 web # Last 100 lines
# ============================================
# Django Commands
# ============================================
docker compose exec web uv run python manage.py shell
docker compose exec web uv run python manage.py makemigrations
docker compose exec web uv run python manage.py migrate
docker compose exec web uv run python manage.py createsuperuser
docker compose exec web uv run python manage.py test
# ============================================
# Database
# ============================================
docker compose exec db psql -U postgres -d habsify_db
# Then: \dt (list tables), \q (quit)
# ============================================
# Container Shell
# ============================================
docker compose exec web bash # Get into web container
docker compose exec db bash # Get into postgres container
# ============================================
# Status
# ============================================
docker compose ps # See running containers
docker compose top # See processes in containers
# ============================================
# Clean Slate
# ============================================
docker compose down -v # Delete everything
docker system prune -a # Delete unused images/cache
# ============================================
# Start / Stop
# ============================================
docker compose up # Start all services (foreground)
docker compose up -d # Start in background
docker compose down # Stop all services
docker compose down -v # Stop + delete volumes (fresh DB)
docker compose restart web # Restart specific service
# ============================================
# Logs
# ============================================
docker compose logs -f web # Follow web logs
docker compose logs -f # Follow all logs
docker compose logs --tail 100 web # Last 100 lines
# ============================================
# Django Commands
# ============================================
docker compose exec web uv run python manage.py shell
docker compose exec web uv run python manage.py makemigrations
docker compose exec web uv run python manage.py migrate
docker compose exec web uv run python manage.py createsuperuser
docker compose exec web uv run python manage.py test
# ============================================
# Database
# ============================================
docker compose exec db psql -U postgres -d habsify_db
# Then: \dt (list tables), \q (quit)
# ============================================
# Container Shell
# ============================================
docker compose exec web bash # Get into web container
docker compose exec db bash # Get into postgres container
# ============================================
# Status
# ============================================
docker compose ps # See running containers
docker compose top # See processes in containers
# ============================================
# Clean Slate
# ============================================
docker compose down -v # Delete everything
docker system prune -a # Delete unused images/cache
👍2