🎓 First Year Student | Aspiring AI & Machine Learning Engineer
Passionate about solving real-world problems using Data Science and AI
Interested in Hackathons, Projects, and Learning New Technologies
- Interested in AI and ML
- Looking forward to participate in Hackathons
- Goal: Build strong projects and gain industry-ready skills
- Programming: Python
- Machine Learning Models: SVM, KNN, Decision Tree, Logistic Regression, Random Forest
- Libraries: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn
- Tools: Jupyter Notebook,google collab notebook, Git & GitHub
A Artificial Intelligence project to predict whether a person has cardiovascular disease using multiple classification models.
- Support Vector Machine (SVM)
- K-Nearest Neighbors (KNN)
- Decision Tree (DT)
- Logistic Regression (LR)
- Random Forest (RF)
- Data Preprocessing & Cleaning
- Feature Scaling
- Data Visualization & Correlation Matrix
- Model Training and Accuracy Comparison
- Performance Evaluation
Successfully compared multiple models and identified the best-performing model for cardio disease prediction.
🔗 Project Link: ([(https://github.com/bindusreeseetha/Cardio-Disease-Prediction.git)])
- Build AI projects that solve real-world problems
- Improve problem-solving and coding skills
- Participate in hackathons and collaborate with teams
- Learn Deep Learning and advanced ML
- GitHub: https://github.com/bindusreeseetha
- Email: seetha.bindusree@gmail.com
⭐ "Learning every day and building projects to grow as an AI Engineer."