Upgrad and IIITB Assignment - Case study to understand the driving factors (or driver variables) that contribute to a loan default.

Heap implementation and comparison

Sorting algorithms implementation and comparison

Analyzed hotel and restaurant businesses in 8 metropolitan areas across the USA and Canada. Utilized Python for data processing and analysis.

The goal of this project is to perform Exploratory Data Analysis (EDA) on a dataset using Python tools and libraries within a Jupyter Notebook environment.

Data Science Internship

Music classified by genre

This project aims to analyze sales data during the Diwali festival using Python. The analysis focuses on identifying key trends, customer purchasing behavior, and sales performance across different segments. By leveraging data visualization and statistical analysis, we uncover insights.

Weather Data Scraping and Visualization project that fetches weather data for Boston using the OpenWeatherMap API. Visualizes temperature trends over time with customizable datetime intervals using Python, Pandas, Matplotlib, and Seaborn.

All codes for the data pipelines processing, statistical modellings, descriptive statistics and plot visualizations from airborne phase of Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021

Data pipelines and processing codes, statistical modellings, descriptive statistics, and plot visualizations for QFF evaluation phase of for Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021 Full-length article: https://www.sciencedirect.com/science/article/abs/pii/S0269749120370779

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

Utilizing bulldozer's auction sale price Dataset to predict the Price of Bulldozers!

Sharing all the codes for the data pipelines processing, machine learning, statistical modellings, descriptive statistics and plot visualizations from Phase 2 of Mahdavi & Siegel (2020) (Aerosol Science & Technology) Project Miestone: 2017 - 2020 Full-length article: https://www.tandfonline.com/doi/full/10.1080/02786826.2020.1774492

A supervised machine learning regression model. Includes problem statement, approach to solution, code, images, dataset, and Jupyter Notebook for interactive analysis.

EDA on HR-Analytics by PW Skills Data Analytics course

This is an end-to-end project wehre I have used my friends images dataset for Image classification using logistic regreesion. It's applications may be used in Security and Surveillance, Criminal's classification & detection .

EDA of Market Campaign

The project comprises studying suicide statistics in India from 2001 to 2012 using pandas, an efficient Python data manipulation and analysis tool, as well as Excel for data visualization and presentation.

This repository contains EDA projects. The code for each project is provided, and the explanations can be found in the ReadMe.md file of each project !