Welcome to my collection of end-to-end Data Science & Machine Learning projects!
This repository showcases my hands-on work across various real-world problems including classification, regression, and analysis—each built with Python and powered by libraries like Pandas, Scikit-learn, Seaborn, Matplotlib, and more.
Analyze the spike in unemployment during COVID-19 using time-series and visualization techniques to track trends across India.
Train a classification model using SVM and Decision Trees to predict iris flower species using petal and sepal measurements.
Predict car prices based on features like horsepower, mileage, and brand value using linear and ensemble models.
Use NLP and Naive Bayes to classify emails as spam or not spam based on their textual content.
Predict product sales using advertising budget data (TV, Radio, Newspaper) with Support Vector Regression (SVR).
- Languages: Python
- Libraries:
Pandas,NumPyMatplotlib,SeabornScikit-learn,Joblib
Swastika Manna
B.Tech (CSE) | Data Science & AI Enthusiast
🔗 GitHub
Feel free to fork, star, or raise issues!