Select a simple dataset from reliable sources like UCI Machine Learning

Repository, MATLAB's sample datasets, or any other appropriate source. The

dataset should be small and suitable for basic neural network applications $($e$.$g$.,$

classification or regression$).$

$2.$ Project Proposal Document:

o Introduction: Briefly describe the dataset and its source.

o Problem Statement: Define the problem you intend to solve using a basic neural

network.

o Objectives: Outline the goals and objectives of your project.

o Proposed Methodology: Describe the type of neural network you plan to use and

why it is suitable for the problem.

Milestone $2$: Data Preprocessing and Exploration $(15\%)$

Due Date: Week $8$

$1.$ Data Preprocessing:

o Clean the dataset $($handle missing values, outliers, etc.$).$

o Perform basic data normalization or standardization if required.

$2.$ Exploratory Data Analysis $($EDA$)$:

o Conduct EDA to understand the dataset$$s characteristics.

o Visualize important features and relationships within the data.