Syedzaheerabbas's repositories
Aerofit-Descriptive_Analysis
Analyzed customer profiles for Aerofit treadmills to enhance product recommendations. The project includes visualizations and probability calculations to understand how customer demographics impact treadmill purchases.
Credit-EDA-Credit-Score-Calculation-with-Python
This project focuses on analyzing bank and credit data to develop a hypothetical credit score and uncover hidden patterns. Through thorough Exploratory Data Analysis (EDA) and strategic feature engineering, the project identifies key factors influencing creditworthiness.
Finance-dashboard-with-Tableau
This project creates an interactive Tableau dashboard to visualize key financial metrics like revenue, expenses, assets, liabilities, and cash flow, helping stakeholders quickly assess the company's financial health and make informed decisions.
Jamboree-Education-Linear-Regression
Using data from Jamboree, this project explores the relationship between applicant profiles (GRE, TOEFL, GPA, etc.) and their chances of admission to Ivy League graduate programs. Linear regression, Ridge, and Lasso regression are employed to build predictive models and identify key factors.
Risk-Analytics-with-Python
This project focuses on developing a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.
TAV-DSML-
This repository contains the class workbooks, exercises, and materials used in my Python for Data Science course. It is designed to provide hands-on practice with Python programming, data analysis, and machine learning concepts. Each workbook includes practical examples, coding challenges, and step-by-step explanations.
Walmart---Confidence-Interval-and-CLT
This project analyzes customer purchase behavior during Walmart's Black Friday sales, focusing on gender-based spending patterns. It provides insights into differences in male and female purchasing behavior, helping Walmart optimize marketing strategies and improve customer engagement through data-driven decisions.