Midterm Exam 1 — Machine Learning

TMO course, BMSTU · Group IU5-64B · Variant 23

A Jupyter notebook solving a midterm problem on feature preprocessing: scaling and categorical encoding.

Task

Given a dataset, apply appropriate preprocessing techniques:

• Feature scaling — normalize numerical features for distance-based models
• Categorical encoding — encode nominal/ordinal variables for ML pipelines

Contents

• RK1_Yurchenko_IU5_64B.ipynb — solution notebook

Tech Stack

• Python, scikit-learn (MinMaxScaler, LabelEncoder, OneHotEncoder)
• pandas, numpy

Running

jupyter notebook RK1_Yurchenko_IU5_64B.ipynb