AIML LAB INTERNAL — SIMPLE, COMMENTED PROGRAMS

These 16 programs correspond to the user's requested AIML practical list.
They use small sample/built-in datasets so they can run without extra data files.

INSTALL
    pip install -r requirements.txt

RUN
    python 04_knn_classifier.py

GRAPHS
- Graphs are included for simple, multiple (3D), and polynomial regression;
  K-Means, hierarchical clustering, PCA, and LDA.
- Classification programs print accuracy; a graph is not essential to their stated task.
- Close a plot window to let a plotting program finish.

IMPORTANT
- Program 1 is only an educational rule-based symptom example, not a validated medical tool.
- Program 2 demonstrates data cleaning on a small in-code dataset. If your teacher gives
  a CSV file, replace the DataFrame construction with: df = pd.read_csv("your_file.csv")
- Program 12 uses mlxtend's Apriori and association_rules.
- These are concise study versions. Match any special format or dataset required by your instructor.
