Predict Train Delays in Germany using Machine Learning

Start Date: January 8, 2023 | 3 years ago

Challenge Background

Studies have shown that about 30% of the donations made in churches during church services through the regular tithe and offering are remitted to the church authority by those church workers in charge of it. This act of treasury theft has made most churches unable to run their activities of churches effectively. Efforts made by some church heads to combat this ugly menace have yielded little or no result, hence the need for a computer vision approach to solving the problem.

Travelling by train around Germany and even to some countries across Europe is an easy, quick and infact, a comfortable option. This is because it is an incredibly fun way to explore the continent. There’s less hassle, more comfortable seats, more ease of moving around, often better views, and more control over your environment.

Project Timeline

Project Objective discussion / Data Collection

Data Sourcing / Data Pre-Processing

Data Analysis / Exploratory Data Analysis

Features and Model selection / Modelling

Prediction and Forecasting

Testing model with test data

What you'll learn

1. Collection of Data. 2. Data Cleaning. 3. Data Analysis. 4. Build Machine Learning 5. Develop API

First Omdena Local Chapter Project?

Beginner-friendly, but also welcomes experts

Education-focused

Duration: 4 to 8 weeks

Open-source

Your Benefits

Address a significant real-world problem with your skills

Build your project portfolio

Access paid projects (as an Omdena Top Talent)

Get hired at top organizations

Requirements

Good English

Suitable for AI/ Data Science beginners but also more senior collaborators

Learning mindset

Application Form

Application Closed.