EDA Projects
Table of Contents
Analyzing restaurant reviews from Zomato to understand customer preferences and trends.
Exploring sales data from a supermarket to gain insights into product performance and customer behavior.
Analyzing Black Friday sales data to uncover shopping trends and patterns.
Building a linear regression model to predict house prices based on various features.
Investigating customer shopping behaviors and preferences to improve marketing strategies.
Applying machine learning to predict passenger survival on the Titanic.
Building and training neural networks to recognize handwritten digits.
Getting Started
To explore any of these projects, simply click on the corresponding link above, which will take you to the Jupyter Notebook file. You can view the code, visualizations, and analysis within each notebook.
Prerequisites
To run these notebooks and reproduce the results, you will need to have the following software and libraries installed:
Python (recommended version 3.7 or higher)
Jupyter Notebook
NumPy
Pandas
Matplotlib
Seaborn
Scikit-Learn (for machine learning projects)
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Posted Jan 18, 2024
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