DSML Case Study – Data Science & Machine Learning

DSML Case Study Portfolio – End-to-End Data Science & Machine Learning Projects

This repository is a curated collection of real-world Data Science and Machine Learning case studies covering exploratory data analysis, statistical inference, SQL analytics, feature engineering, and predictive modeling.

The objective of this portfolio was to build strong practical foundations across the entire data science workflow — from understanding raw data and validating assumptions statistically, to building and evaluating machine learning models.

Each case study focuses on a different business problem and applies appropriate statistical or ML techniques to derive actionable insights.

Case Studies Included

1️⃣ Netflix – Data Exploration & Visualization

2️⃣ Aerofit – Descriptive Statistics & Probability

3️⃣ Walmart – Confidence Intervals & Central Limit Theorem

4️⃣ Yulu – Hypothesis Testing

5️⃣ Target – SQL Analysis

6️⃣ Delhivery – Feature Engineering

7️⃣ Jamboree Education – Linear Regression

8️⃣ LoanTap – Logistic Regression