Statistical Machine Learning for Data Science

📌 Introduction

This repository contains experiments and implementations for the course Statistical Machine Learning for Data Science. It covers statistical methods, machine learning techniques, and their applications on datasets.

📂 Experiments List

• Experiment 1: House Price
• Experiment 2: Customer Satisfaction
• Experiment 3: Car Data Analysis
• Experiment 4: Salary of Population
• Experiment 5: T-Test
• Experiment 6: A/B Test
• Experiment 7: Daily Sales

⚙️ Setup

1. Clone the repository

   git clone https://github.com/gaurav-g-alva/SMLDS_LAB.git
   cd SMLDS_LAB

2. (Optional) Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate   # For Linux/Mac
   venv\Scripts\activate      # For Windows

3. 🚀 Usage - Open the corresponding Jupyter Notebook:

   jupyter notebook SMLDS_LAB/EXP_no/exp_name.ipynb

Modify datasets or parameters inside the script/notebook to explore different outcomes.

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