I will do eda and build a machine learning model in jupyter notebook

Need clean exploratory data analysis and a working machine learning model for your project, assignment, or research without the overhead of deployment?

I deliver fully documented Jupyter notebooks covering:

Data cleaning & preprocessing (missing values, encoding, outliers)

Exploratory Data Analysis with clear visualizations (matplotlib/seaborn)

Feature engineering & selection

Model building classification or regression (Logistic Regression, Random Forest, KNN, etc.)

Model evaluation with accuracy, confusion matrix, and other relevant metrics

Clear comments and markdown explanations throughout easy to understand, even if you're learning

This is perfect for:

- University assignments & semester projects

- Research papers needing a model/results section

- Portfolio building for data science students

- Quick prototyping before full deployment

I've worked across multiple datasets customer churn, loan approval, insurance cost prediction, income classification, and more always with clean, simple code that's easy to follow and explain in a viva or presentation.

Send me your dataset and requirements, and I'll deliver a notebook you can actually understand and use.