Index

Sr. No. Date Program List Sign
1
2

Basics of ML

  1. Write a ml code for classification of iris Dataset
    1. Import the required libraries.
    2. Read the file data.
    3. Perform Exploratory Data Analysis(EDA).
    4. info()
    5. shape()- no. of features & records in a dataset.(scalability of a dataset)
    6. unique()- List of unique values in a specific column.
    7. describe()- to make sure if there is an outlier or not looking at min, max, mean, average.
    8. Split the data into train-test data
    9. Scaling
    10. Model building
    11. Checking model accuracy
    12. Validating the model

Session 2- 31/7/25

  1. Single Layer Perceptron
    1. Keras Library