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KaggleTabularBeginnerRegistration open

House Prices - Advanced Regression Techniques

A beginner tabular competition requiring roughly 15–45 hours for an end-to-end practice run.

Difficulty
Beginner
Estimated effort
15–45 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewResourcesPreparationSource

Overview

Who this competition fits

Intermediate learners who want to deepen their skills in general machine learning. Good for building practical experience with real-world data.

Read the original official blurb
Predict sales prices and practice feature engineering, RFs, and gradient boosting

Resources

What this competition gives you

There is a baseline you can run as-is — starting from it is usually far faster than building from scratch.

  • BaselineTFDF house-price starter notebook

Preparation

From registration to a first submission

  1. 01

    Python

  2. 02

    scikit-learn or similar ML library

  3. 03

    data analysis with pandas

Before you commit: Requires solid machine learning fundamentals and good experimental methodology.

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
Kaggle
Last checked
Aug 30, 2016

Entry assessment

est.
34

Prepare before joining

Overall fit estimate

Beginner fit34/100
Learning value65/100

Confirm eligibility and time commitment before moving into formal preparation.

18+ · Location rules

Open official pageSign in to saveOpen guide

Timeline

Registration opens
Aug 30, 2016
Submission deadline
Jan 1, 2030
Competition ends
Jan 1, 2030

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Aug 30, 2016
Source created
Aug 25, 2016
Published on this site
Jul 18, 2026