Exploratory Data Analysis (EDA) and Feature Engineering

This repository contains my work on exploratory data analysis (EDA), feature engineering, and prediction modeling based on the techniques learned from a YouTube tutorial series and additional personal exploration.

Overview

I have undertaken this project to delve into the fundamentals of exploratory data analysis and feature engineering, guided by a comprehensive YouTube tutorial series by Krishnaik06. The primary goal was to gain practical insights into data preprocessing, visualization, and feature manipulation techniques, culminating in building predictive models.

Contents

• Black Friday/: This directory contains datasets and analysis related to Black Friday sales.
• Flights/: Datasets and analysis & prediction modelling related to flight bookings.
• Zomato/: Data and analysis related to Zomato restaurant reviews and ratings.

Reference

• YouTube Tutorial Series: 5 Days Live EDA and Feature Engineering
  • This tutorial series served as the foundational resource for learning EDA and feature engineering techniques.
• GitHub Repository: Krishnaik06/5-Days-Live-EDA-and-Feature-Engineering
  • The accompanying GitHub repository provided code and datasets used in the tutorials.

How to Use

1. Clone the repository:

   git clone https://github.com/Aveefr/EDA-and-Feature-Engineering.git