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.
- 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
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Clone the repository
git clone https://github.com/gaurav-g-alva/SMLDS_LAB.git cd SMLDS_LAB -
(Optional) Create and activate a virtual environment:
python -m venv venv source venv/bin/activate # For Linux/Mac venv\Scripts\activate # For Windows
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🚀 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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