Predictive Analysis of Road Accidents in India: A Machine Learning Approach - Configuration Manual - MSc Research Project Submission Sheet

Sep 17, 2026

Uploaded by Theodora

Research project submission and configuration manual for “Predictive Analysis of Road Accidents in India: A Machine Learning Approach.” The sheet includes student and supervision details, submission checklist, and certification of referenced work. The manual specifies system setup steps, required hardware/software, and tools such as Anaconda, Jupyter Notebook, Excel, and smartdraw. It details installation flow, importing libraries, dataset loading, splitting training/testing by year, outlier removal via z-score, and building a RandomForestRegressor model tuned with GridSearchCV.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages8

Reading Time20 min

AccessFree to download

1 Introduction

2 System Specification

2.1 Hardware specification

2.2 Software specification

3 Software Used

4 Installation

5 Project Development

5.1 Importing necessary library

5.2 Import dataset

5.3 Model Building

Predictive Analysis of Road Accidents in India: A Machine Learning Approach Configuration Manual MSc Research Project Data Analytics Harini Manjunatha Student ID: x22169288 School of Computing National College of Ireland Supervisor: Shubham Subhnil National College of Ireland Project Submission Sheet School of Computing | Student Name: | Harini Manjunatha | | --- | --- | | Student ID: | x22169288 | | Programme: | Data Analytics | | Year: | 2023 | | Module: | MSc Research Project | | Supervisor: | Shubham Subhnil | | Submission Due Date: | 14/12/2023 | | Project Title: | Predictive Analysis of Road Accidents in India: A Machine Learning Approach | | Word Count: | 679 | | Page Count: | 6 | I hereby certify that the information contained in this (my submission) is information pertaining to research I conducted for this project. All information other than my own contribution will be fully referenced and listed in the relevant bibliography section at the rear of the project. ALL internet material must be referenced in the bibliography section. Students are required to use the Referencing Standard specified in the report template. To use other author’s written or electronic work is illegal (plagiarism) and may result in disciplinary action. | Signature: | Harini Manjunatha | | --- | --- | | Date: | 31st January 2024 | PLEASE READ THE FOLLOWING INSTRUCTIONS AND CHECKLIST: | Attach a completed copy of this sheet to each project (including multiple copies) . | □ | | --- | --- | | Attach a Moodle submission receipt of the online project submission, to each project (including multiple copies) . | □ | | You must ensure that you retain a HARD COPY of the project, both foryour own reference and in case a project is lost or mislaid. It is not sufficient to keep a copy on computer. | □ | Assignments that are submitted to the Programme Coordinator office must be placed into the assignment box located outside the office. | Office Use Only | | | --- | --- | | Signature: | | | Date: | | | Penalty Applied (if applicable): | | Predictive Analysis of Road Accidents in India: A Machine Learning Approach-Configuration Manual Harini Manjunatha x22169288 1 Introduction The configuration manual contains the detailed information on setting up system. The objective of this manual is to outline the process on conducting the study ’Predictive Analysis of Road Accidents in India: A Machine Learning Approach’. It specifies the necessary machine setup needed to create and execute the models. The instructions cover installing the required programmes and packages in addition to setting up the fundamental configuration that is necessary for the project to succeed. 2 System Specification In this section, the hardware and software requirements used for the research is presented. 2.1 Hardware specification Figure 1: Hardware specification 2.2 Software specification Figure 2: Software specification 3 Software Used • Microsoft excel: Used for initial exploration of data. • Jupyter Notebook 1 : Jupyter Notebook provides an interactive environment where we execute code in cells and visualize the results. It makes process easier to experiment with different machine learning models, algorithms, visualising the data and data preprocessing techniques. • smartdraw 2 : Online platform used for creating flowcharts. 4 Installation The First step in the process involves launching the Anaconda application. The application provides an extensive set of software designed to perform diverse needs. Jupyter notebook is launched which offers an envirnoment where we can execute the code in cells and visualise the results. Numerous exceptional Python libraries are available for comprehensive data analysis purposes. These libraries enhance the capability to explore, process, and derive insights from datasets efficiently. Figure 3 shows the interface of an Anaconda navigator. Figure 3: Anaconda Interface Figure 4 is the mai

FAQs

What is the purpose of the configuration manual?

It outlines the process for setting up the system and the necessary programs and packages to conduct the study “Predictive Analysis of Road Accidents in India: A Machine Learning Approach.”

Which software tools are used in the project workflow?

Microsoft Excel is used for initial data exploration, Jupyter Notebook is used for executing code and visualizing results, and smartdraw is used for creating flowcharts.

How are the dataset and model built in the project?

The dataset is split into training and testing sets using 2001–2020 for training and 2021 for testing. Outliers are removed using the z-score method, then a RandomForestRegressor model is implemented and tuned with GridSearchCV.

Sep 17, 2026

Uploaded by Theodora