AI-ML-Resources

🤖
AI Club IGDTUW

✒️ Cheatsheets

https://towardsdatascience.com/5-minutes-cheat-sheet-explaining-all-machine-learning-models-3fea1cf96f05
https://perso.limsi.fr/pointal/_media/python:cours:mementopython3-english.pdf
https://www.freecodecamp.org/news/git-cheat-sheet/
https://www.pythoncheatsheet.org/
https://www.datacamp.com/cheat-sheet/python-seaborn-cheat-sheet
https://www.python-graph-gallery.com/cheat-sheets/
https://intellipaat.com/blog/tutorial/python-tutorial/pandas-cheat-sheet/
https://www.edureka.co/blog/cheatsheets/jupyter-notebook-cheat-sheet

👩‍💻 Introduction

• Introduction to GitHub and VScode
  https://www.youtube.com/watch?v=IE_w8TdmwUE
  https://www.youtube.com/watch?v=VqCgcpAypFQ
  https://lab.github.com/githubtraining/introduction-to-github
  https://www.w3schools.com/git/git_intro.asp?remote=github
  

• Introduction to Jupyter notebook
  https://www.youtube.com/watch?v=HW29067qVWk

• Introduction to Colab
  https://www.youtube.com/watch?v=WFvY3qgtMqM

• Basics of Python
  https://www.youtube.com/watch?v=7eh4d6sabA0

👩‍💻 EDA

• Exploratory Data Analysis (EDA)
  https://www.kaggle.com/code/alokevil/simple-eda-for-beginners/notebook
  https://www.youtube.com/watch?v=YRBdTw9TZPE
  

• Introduction to AI
  https://becominghuman.ai/introduction-to-artificial-intelligence-5fba0148ec99
  https://www.youtube.com/watch?v=SSE4M0gcmvE
  

👩‍💻 Algorithms

• Diving deeper into Al : Applications of Al and ML
  https://www.simplilearn.com/tutorials/artificial-intelligence-tutorial/ai-vs-machine-learning-vs-deep-learning
  https://www.youtube.com/watch?v=cPZvDg6Tw5Q
  https://www.techtarget.com/searchenterpriseai/definition/machine-learning-ML
  

• Linear Regression
  https://www.youtube.com/watch?v=8jazNUpO3lQ&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=2 (single variable)
  https://www.youtube.com/watch?v=J_LnPL3Qg70&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=3 (multiple variables)
  https://www.youtube.com/watch?v=vsWrXfO3wWw&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=4 (gradient descent and cost function)
  

• Logistic Regression
  https://www.youtube.com/watch?v=zM4VZR0px8E&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=8 (Binary classification)
  https://www.youtube.com/watch?v=J5bXOOmkopc&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=9 (multiclass classification)
  

• Naive Bayes
  https://www.youtube.com/watch?v=PPeaRc-r1OI&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=15 (part 1)
  https://www.youtube.com/watch?v=nHIUYwN-5rM&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=16 (part 2)
  

• KNN
  https://www.youtube.com/watch?v=CQveSaMyEwM&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=19

• SVM
  https://www.youtube.com/watch?v=FB5EdxAGxQg&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=11

• Random forest
  https://www.youtube.com/watch?v=ok2s1vV9XW0&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=12