π Want to break into AI but don't know where to start?
Here's a simple AI Roadmap to guide your learning journeyβfrom Python basics to Machine Learning, Deep Learning, LLMs, and real-world AI projects. π€
Python patterns look simpleβ¦ until you understand the logic behind them π§ π
These 4 pattern examples help you practice: β nested loops
β conditions
β rows and columns logic
β spacing and output control
If you can understand these, your loop logic will become much stronger π₯
Save this for practice and try changing the values yourself π¨βπ»β¨
#python#coding#programming#learnpython#developer
Most people quit because they don't know what to learn next.
Here's the complete Data Science Roadmap π
π Python Basics
π Statistics & Probability
π SQL & Databases
π Pandas & NumPy
π Data Visualization
π Machine Learning
π Deep Learning
π MLOps & Deployment
Follow this path and stay consistent. π―
#DataScientist#Roadmap#Programming
If you're prepping for technical interviews, you likely have data structures and algorithms on the brain.
And this comprehensive (49 hour!) course covers all the most popular ones you'll run into during interviews.
You'll also learn about Big O Notation, sorting and searching, dynamic programming, and lots more.
freecodecamp.org/news/masterβ¦