Assessfy Foundation Projects Lab Beginner 5 milestones 100 marks

Will They Survive? Predicting Titanic Passengers with Your First Classifier

Discipline: Data Analysis Level: Foundation Industry: Analytics Function: Business Analytics Team: up to 3 Assessment: 5 milestones (100 marks)

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

Enroll as Student Mentor this project

Milestones

Available mentors

Enrolled students

Core skills

About this project

What you'll build: You'll create a simple program that predicts whether a passenger survived the Titanic disaster, using real historical data. Step by step, you'll load the data, explore it, build a basic machine learning model, and see how well your predictions match actual outcomes.

Why it's a good starter: This project uses a famous dataset that is small and easy to understand. You'll get hands-on practice with beginner-friendly tools and focus on one clear goal: making a prediction based on data. It's perfect if you're new to data analysis and want to see quick results!

What you'll learn: You'll practice loading and exploring data, preparing it for analysis, building and testing a simple classifier, and sharing your findings. By the end, you'll know the basics of machine learning and how to apply them to real-world questions.

Milestones

1. Setup & Plan

10 marks 5d

Submit a Jupyter Notebook with your project plan: confirm you can load the Titanic CSV data and outline your steps. Show that your environment is set up and the data is visible with head().

2. Core Build: Data Exploration & Cleaning

30 marks 10d

Submit code and a few markdown notes summarizing your data exploration: show summary statistics, basic plots (e.g., age histograms), and describe any missing values or patterns. Show cleaned/prepared data ready for modeling.

3. Core Build: Model & Features

30 marks 12d

Submit code that builds a basic classifier (e.g., Decision Tree), selects 2-3 features, and trains the model. Show prediction outputs and explain your feature choices in a few sentences.

4. Testing & Polish

15 marks 7d

Submit your notebook with accuracy results from testing your model, a confusion matrix, and a short reflection on what worked or didn't. Tidy up code and add helpful comments.

5. Demo & Short Report

15 marks 7d

Present your notebook (screenshots or short video) and a 1-page summary/report (in markdown or PDF) describing your process, results, and what you learned.

Open internships using this project -->

Skills you'll learn

Data AnalysisLoading and viewing CSV data in PythonBasic data cleaning and preparationExploring data with summary statistics and simple plotsBuilding and using a simple machine learning classifier (e.g.Decision Tree)Evaluating model accuracyWriting up and presenting your results

Tools used

PythonJupyter Notebook (or Google Colab)pandasscikit-learnmatplotlib (for simple plots)

Prerequisites

Basic programming (e.g.Python basics)School-level maths (simple arithmetic and logic)

Available mentors

No mentors have signed up for this project yet.

Be the first to mentor

You'll earn — Certificate (PDF)

AICTE-aligned Project Completion Certificate

A formal, audit-ready PDF certificate issued by Assessfy + your institute on successful completion. Includes AICTE credit hours, your evaluator's signature, and a QR code for third-party verification.

AICTE-aligned

Certificate of Project Completion

This is to certify that

has successfully completed the project

Will They Survive? Predicting Titanic Passengers with Your …

Scan to Verify

Date

Signature

Auto-issued on completion QR-verifiable

You'll earn — Digital Badge

Shareable LinkedIn / Resume Skill Badge

A compact, verifiable Open-Badges-2.0-compliant digital credential. Add to your LinkedIn profile, GitHub README, or resume in one click. Recruiters can validate authenticity via a unique URL.

Beginner

Will They Survive? Predicting Titanic…

Assessfy

Auto-issued on completion One-click LinkedIn add