I will clean, preprocess and make your dataset ml ready in python

Your model is only as good as the data you feed it. I make sure that data is actually ready.

I clean, preprocess, and prepare datasets specifically for machine learning use not just tidied-up spreadsheets, but data that's genuinely ready to go into a model: properly encoded, scaled, missing values handled with a defensible strategy, and documented so you understand exactly what was done and why.

What you get:

• A cleaned, ML-ready dataset (CSV/Excel + Python notebook)
• Clear documentation of every transformation applied
• An EDA summary so you understand your data, not just a cleaned file
• Optional baseline model to sanity-check the data actually performs

Great for: students and researchers prepping data for a thesis or paper, startups building their first ML pipeline, data scientists who want the grunt work off their plate, Kaggle competitors short on time.

How it works:

1. Send me your raw dataset and tell me what you're building (classification, regression, clustering, etc.)
2. I assess the data and confirm scope/package before starting
3. I clean, preprocess, and document everything
4. You receive the dataset + notebook + summary, and I explain anything you want walked through.